100 Best Probability Books of All Time

We've ranked the best probability books using expert recommendations, sales data, and millions of reader ratings. At Shortform, we know books. Our book guides are the best in the world. Learn why.

Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets book cover1

Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets

Nassim Nicholas Taleb

5.0
Fooled by Randomness is a standalone book in Nassim Nicholas Taleb’s landmark Incerto series, an investigation of opacity, luck, uncertainty, probability, human error, risk, and decision-making in a world we don’t understand. The other books in the series are The Black Swan, Antifragile, and The Bed of Procrustes.

Now in a striking new hardcover edition, Fooled by Randomness is the word-of-mouth se
The Black Swan: The Impact of the Highly Improbable book cover2

The Black Swan: The Impact of the Highly Improbable

Nassim Nicholas Taleb

5.0
A black swan is a highly improbable event with three principal characteristics: It is unpredictable; it carries a massive impact; and, after the fact, we concoct an explanation that makes it appear less random, and more predictable, than it was.

The astonishing success of Google was a black swan; so was 9/11. For Nassim Nicholas Taleb, black swans underlie almost everything about our world, from t
Freakonomics: A Rogue Economist Explores the Hidden Side of Everything book cover3

Freakonomics: A Rogue Economist Explores the Hidden Side of Everything

Steven D. Levitt

5.0
Which is more dangerous, a gun or a swimming pool? What do schoolteachers and sumo wrestlers have in common? Why do drug dealers still live with their moms? How much do parents really matter? What kind of impact did Roe v. Wade have on violent crime? Freakonomics will literally redefine the way we view the modern world.

These may not sound like typical questions for an economist to ask. But Steven
Thinking, Fast and Slow book cover4

Thinking, Fast and Slow

Kahneman

5.0
Major New York Times bestseller
Winner of the National Academy of Sciences Best Book Award in 2012
Selected by the New York Times Book Review as one of the best books of 2011
A Globe and Mail Best Books of the Year 2011 Title
One of The Economist's 2011 Books of the Year
One of The Wall Street Journal's Best Nonfiction Books of the Year 2011
2013 Presidential Medal of Freedom Recipient

In the internatio
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think book cover5

Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think

Hans Rosling

4.8
Factfulness: The stress-reducing habit of only carrying opinions for which you have strong supporting facts.

When asked simple questions about global trends—what percentage of the world’s population live in poverty; why the world’s population is increasing; how many girls finish school—we systematically get the answers wrong. So wrong that a chimpanzee choosing answers at random will consistently o
Antifragile: Things That Gain from Disorder book cover6

Antifragile: Things That Gain from Disorder

Nassim Nicholas Taleb

4.8
From the bestselling author of The Black Swan and one of the foremost philosophers of our time, Nassim Nicholas Taleb, a book on how some systems actually benefit from disorder.

In The Black Swan Taleb outlined a problem; in Antifragile he offers a definitive solution: how to gain from disorder and chaos while being protected from fragilities and adverse events. For what he calls the "antifragile"
Outliers: The Story of Success book cover7

Outliers: The Story of Success

Malcolm Gladwell

4.7
In this stunning new book, Malcolm Gladwell takes us on an intellectual journey through the world of "outliers"--the best and the brightest, the most famous and the most successful. He asks the question: what makes high-achievers different?

His answer is that we pay too much attention to what successful people are like, and too little attention to where they are from: that is, their culture, their
The Signal and the Noise: Why So Many Predictions Fail - But Some Don't book cover8

The Signal and the Noise: Why So Many Predictions Fail - But Some Don't

Nate Silver

4.6
One of Wall Street Journal's Best Ten Works of Nonfiction in 2012

New York Times Bestseller

"Not so different in spirit from the way public intellectuals like John Kenneth Galbraith once shaped discussions of economic policy and public figures like Walter Cronkite helped sway opinion on the Vietnam War…could turn out to be one of the more momentous books of the decade."
-New York Times Book Review

"Na
Superforecasting: The Art and Science of Prediction book cover9

Superforecasting: The Art and Science of Prediction

Philip E. Tetlock, Dan Gardner

4.6
A New York Times Bestseller

An Economist Best Book of 2015

"The most important book on decision making since Daniel Kahneman's Thinking, Fast and Slow."
—Jason Zweig, The Wall Street Journal

Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week’s meals. Unfortunately, people tend to be terrible foreca
Skin in the Game: Hidden Asymmetries in Daily Life book cover10

Skin in the Game: Hidden Asymmetries in Daily Life

Nassim Nicholas Taleb

4.6
From the New York Times bestselling author of The Black Swan, a bold new work that challenges many of our long-held beliefs about risk and reward, politics and religion, finance and personal responsibility

In his most provocative and practical book yet, one of the foremost thinkers of our time redefines what it means to understand the world, succeed in a profession, contribute to a fair and just so
The Drunkard's Walk: How Randomness Rules Our Lives book cover11

The Drunkard's Walk: How Randomness Rules Our Lives

Leonard Mlodinow

4.5
Naked Statistics: Stripping the Dread from the Data book cover12

Naked Statistics: Stripping the Dread from the Data

Charles Wheelan

4.5
Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which m
Against the Gods: The Remarkable Story of Risk book cover13

Against the Gods: The Remarkable Story of Risk

Peter L. Bernstein

4.5
With the stock market breaking records almost daily, leaving longtime market analysts shaking their heads and revising their forecasts, a study of the concept of risk seems quite timely. Peter Bernstein has written a comprehensive history of man's efforts to understand risk and probability, beginning with early gamblers in ancient Greece, continuing through the 17th-century French mathematicians P
A Random Walk Down Wall Street: The Time-Tested Strategy for Successful Investing book cover14

A Random Walk Down Wall Street: The Time-Tested Strategy for Successful Investing

Burton G. Malkiel

4.5
Today’s stock market is not for the faint of heart. At a time of frightening volatility, what is the average investor to do?


The answer: turn to Burton G. Malkiel’s advice in his reassuring, authoritative, gimmick-free, and perennially best-selling guide to investing. Long established as the first book to purchase before starting a portfolio or 401(k), A Random Walk Down Wall Street now features ne
Thinking in Bets: Making Smarter Decisions When You Don't Have All the Facts book cover15

Thinking in Bets: Making Smarter Decisions When You Don't Have All the Facts

Annie Duke

4.5
In Super Bowl XLIX, Seahawks coach Pete Carroll made one of the most controversial calls in football history: With 26 seconds remaining, and trailing by four at the Patriots' one-yard line, he called for a pass instead of a hand off to his star running back. The pass was intercepted and the Seahawks lost. Critics called it the dumbest play in history. But was the call really that bad? Or did Carro
A Mind for Numbers: How to Excel at Math and Science (Even If You Flunked Algebra) book cover16

A Mind for Numbers: How to Excel at Math and Science (Even If You Flunked Algebra)

Barbara Oakley

4.4
Whether you are a student struggling to fulfill a math or science requirement, or you are embarking on a career change that requires a higher level of math competency, A Mind for Numbers offers the tools you need to get a better grasp of that intimidating but inescapable field. Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. She flunked her way through high
Fifty Challenging Problems in Probability with Solutions book cover17

Fifty Challenging Problems in Probability with Solutions

Frederick Mosteller

4.3
Remarkable selection of puzzlers, graded in difficulty, that illustrate both elementary and advanced aspects of probability. Selected for originality, general interest, or because they demonstrate valuable techniques, the problems are ideal as a supplement to courses in probability or statistics, or as stimulating recreation for the mathematically minded. Detailed solutions. Illustrated.
18

An Introduction to Statistical Learning: With Applications in R

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

4.3
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant a
19

Probability Theory

E. T. Jaynes, G. Larry Bretthorst

4.3
Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an a
Chaos: Making a New Science book cover20

Chaos: Making a New Science

James Gleick

4.3
Few writers distinguish themselves by their ability to write about complicated, even obscure topics clearly and engagingly. In Chaos, James Gleick, a former science writer for the New York Times, shows that he resides in this exclusive category. Here he takes on the job of depicting the first years of the study of chaos--the seemingly random patterns that characterise many natural phenomena.

This

The End of Average: How We Succeed in a World That Values Sameness book cover21

The End of Average: How We Succeed in a World That Values Sameness

Todd Rose

4.3
Each of us knows we’re different. We’re a little taller or shorter than the average, our salary is a bit higher or lower than the average, and we wonder about who it is that is buying the average-priced home. All around us, we think, are the average people—with the average height, the average salary and the average house.

But the average doesn’t just influence how we see ourselves—our entire social
The Visual Display of Quantitative Information book cover22

The Visual Display of Quantitative Information

Edward R. Tufte

4.3
The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relat
The Book of Why: The New Science of Cause and Effect book cover23

The Book of Why: The New Science of Cause and Effect

Judea Pearl

4.2
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence
"Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleag
How to Lie with Statistics book cover25

How to Lie with Statistics

Darrell Huff

4.2

Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to full rather than to inform.

Probability: For the Enthusiastic Beginner book cover26

Probability: For the Enthusiastic Beginner

David J. Morin

4.2
This book is written for high school and college students learning about probability for the first time. It will appeal to the reader who has a healthy level of enthusiasm for understanding how and why the various results of probability come about. All of the standard introductory topics in probability are covered: combinatorics, the rules of probability, Bayes' theorem, expectation value, varianc
27

An Introduction to Probability Theory and Its Applications, Volume 1

William Feller

4.2
A complete guide to the theory and practical applications of probability theory

An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory. Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations
Introduction to Probability, Statistics, and Random Processes book cover28

Introduction to Probability, Statistics, and Random Processes

Hossein Pishro-Nik

4.2
This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields. It provides a clear and intuitive approach to these topics while maintaining mathematical accuracy.

The book covers:


Basic concepts such as random experiments, probability axioms, conditional probabi
29

Judgment Under Uncertainty: Heuristics and Biases

Daniel Kahneman

4.2
The thirty-five chapters in this book describe various judgmental heuristics and the biases they produce, not only in laboratory experiments but in important social, medical, and political situations as well. Individual chapters discuss the representativeness and availability heuristics, problems in judging covariation and control, overconfidence, multistage inference, social perception, medical d
Where Do We Go from Here: Chaos or Community? book cover30

Where Do We Go from Here: Chaos or Community?

Martin Luther King Jr.

4.2
In 1967, Dr. Martin Luther King, Jr., isolated himself from the demands of the civil rights movement, rented a house in Jamaica with no telephone, and labored over his final manuscript. In this prophetic work, which has been unavailable for more than ten years, he lays out his thoughts, plans, and dreams for America's future, including the need for better jobs, higher wages, decent housing, and qu
The (Mis)Behaviour of Markets: A Fractal View of Risk, Ruin and Reward book cover31

The (Mis)Behaviour of Markets: A Fractal View of Risk, Ruin and Reward

Benoit Mandelbrot, Richard L. Hudson

4.2
From the world-famous inventor of fractal geometry, a revolutionary new theory that turns on its head our understanding of how markets work. Fractal geometry is the mathematics of roughness: how to reduce the outline of a jagged leaf, a rocky coastline or static in a computer connection to a few simple mathematical properties - to make the complex simple. With his fractal tools, Benoit Mandelbrot
On the Edge: The Art of Risking Everything book cover32

On the Edge: The Art of Risking Everything

Nate Silver

4.2

The Instant New York Times Bestseller | With a New Preface from Nate Silver for 2025New York Times Book Review Paperback Row selection“Engaging and entertaining . . . a glimpse of the economy of the future.” —Tim Wu, New York Times Book ReviewFrom the New York Times bestselling author of The Signal and the Noise, the definitive guide to our era of risk—and the players raising the stakesIn a world

The Information: A History, a Theory, a Flood book cover34

The Information: A History, a Theory, a Flood

James Gleick

4.2
James Gleick, the author of the best sellers Chaos and Genius, now brings us a work just as astonishing and masterly: a revelatory chronicle and meditation that shows how information has become the modern era’s defining quality—the blood, the fuel, the vital principle of our world.

The story of information begins in a time profoundly unlike our own, when every thought and utterance vanishes as soo
Everything You Need to Ace Math in One Big Fat Notebook: The Complete Middle School Study Guide book cover35

Everything You Need to Ace Math in One Big Fat Notebook: The Complete Middle School Study Guide

Workman Publishing, Ouida Newton, et al.

4.1
It’s the revolutionary math study guide just for middle school students from the brains behind Brain Quest.

Everything You Need to Ace Math . . . covers everything to get a student over any math hump: fractions, decimals, and how to multiply and divide them; ratios, proportions, and percentages; geometry; statistics and probability; expressions and equations; and the coordinate plane and functions.
Fortune's Formula: The Untold Story of the Scientific Betting System That Beat the Casinos and Wall Street book cover36

Fortune's Formula: The Untold Story of the Scientific Betting System That Beat the Casinos and Wall Street

William Poundstone

4.1
In 1956 two Bell Labs scientists discovered the scientific formula for getting rich. One was mathematician Claude Shannon, neurotic father of our digital age, whose genius is ranked with Einstein's. The other was John L. Kelly Jr., a Texas-born, gun-toting physicist. Together they applied the science of information theory—the basis of computers and the Internet—to the problem of making as much mon
The Art of Statistics: How to Learn from Data book cover37

The Art of Statistics: How to Learn from Data

David Spiegelhalter

4.1
The definitive guide to statistical thinking
Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to pa
38

Innumeracy: Mathematical Illiteracy and Its Consequences

John Allen Paulos

4.1
39

Data Science with R

Hadley Wickham and Garrett Grolemund

4.1
40

Calculated Risks: How to Know When Numbers Deceive You

Gerd Gigerenzer

4.1
At the beginning of the twentieth century, H. G. Wells predicted that statistical thinking would be as necessary for citizenship in a technological world as the ability to read and write. But in the twenty-first century, we are often overwhelmed by a baffling array of percentages and probabilities as we try to navigate in a world dominated by statistics. Cognitive scientist Gerd Gigerenzer says th
41

High-Dimensional Probability: An Introduction with Applications in Data Science

Roman Vershynin

4.1
42

Art of Problem Solving Intermediate Counting and Probability Textbook and Solutions Manual 2-Book Set

David Patrick

4.1
How Not to Be Wrong: The Power of Mathematical Thinking book cover43

How Not to Be Wrong: The Power of Mathematical Thinking

Jordan Ellenberg

4.1
The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands

The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life
44

The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy

Sharon Bertsch McGrayne

4.1
Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.

In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial th
Pattern Recognition and Machine Learning book cover45

Pattern Recognition and Machine Learning

Christopher M. Bishop

4.1
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general
46

Art of Problem Solving Introduction to Counting and Probability Textbook and Solutions Manual 2-Book Set

David Patrick

4.1
Art of Problem Solving Introduction to Counting and Probability Textbook and Solutions Manual 2-Book Set : Learn the basics of counting and probability from former USA Mathematical Olympiad winner David Patrick. Topics covered in the book include permutations, combinations, Pascal's Triangle, basic combinatorial identities, expected value, fundamentals of probability, geometric probability, the Bi
The Success Equation book cover47

The Success Equation

Michael J. Mauboussin

4.1
48

Probability with Martingales

David Williams

4.1
This is a masterly introduction to the modern and rigorous theory of probability. The author adopts the martingale theory as his main theme and moves at a lively pace through the subject's rigorous foundations. Measure theory is introduced and then immediately exploited by being applied to real probability theory. Classical results, such as Kolmogorov's Strong Law of Large Numbers and Three-Series
49

The Statistical Probability of Love at First Sight

Jennifer E. Smith

4.1
Who would have guessed that four minutes could change everything?

Today should be one of the worst days of seventeen-year-old Hadley Sullivan's life. Having missed her flight, she's stuck at JFK airport and late to her father's second wedding, which is taking place in London and involves a soon-to-be stepmother Hadley's never even met. Then she meets the perfect boy in the airport's cramped waiting
Statistics Laminate Reference Chart: Parameters, Variables, Intervals, Proportions (Quickstudy: Academic ) book cover50

Statistics Laminate Reference Chart: Parameters, Variables, Intervals, Proportions (Quickstudy: Academic )

Inc. BarCharts

4.1
A Man for All Markets book cover51

A Man for All Markets

Edward O. Thorp

4.1
The incredible true story of the card-counting mathematics professor who taught the world how to beat the dealer and, as the first of the great quantitative investors, ushered in a revolution on Wall Street.

A child of the Great Depression, legendary mathematician Edward O. Thorp invented card counting, proving the seemingly impossible: that you could beat the dealer at the blackjack table. As a re
52

Theory of Probability: A critical introductory treatment (Wiley Series in Probability and Statistics Book 6)

Bruno de Finetti

4.1
53

Doing Bayesian Data Analysis: A Tutorial Introduction with R

John K. Kruschke

4.1
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all mathematics is explained i
54

Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability

Oliver Duerr, Beate Sick, et al.

4.1
Probabilistic Deep Learning shows how probabilistic deep learning models gives readers the tools to identify and account for uncertainty and potential errors in their results.

Starting by applying the underlying maximum likelihood principle of curve fitting to deep learning, readers will move on to using the Python-based Tensorflow Probability framework, and set up Bayesian neural networks that can
55

Student's Solutions Guide for Introduction to Probability, Statistics, and Random Processes

Hossein Pishro-Nik

4.1
Since the 2014 publication of Introduction to Probability, Statistics, and Random Processes, many have requested the distribution of solutions to the problems in the textbook. This book contains guided solutions to the odd-numbered end-of-chapter problems found in the companion textbook. Student's Solutions Guide for Introduction to Probability, Statistics, and Random Processes has been published
AP Statistics Premium, 2027: 9 Practice Tests + Comprehensive Review + Online Practice (Barron's AP Prep) book cover56

AP Statistics Premium, 2027: 9 Practice Tests + Comprehensive Review + Online Practice (Barron's AP Prep)

Martin Sternstein Ph.D.

4.1

PREP SMARTER WITH BARRON’S. Barron's AP Statistics Premium, 2027 delivers 9 full-length practice tests and in-depth review aligned with the latest course framework. With authentic AP-style practice and expert strategies from educators with years of classroom experience, every study session brings you closer to your goals. Prep smarter, not harder, and ace your exam!NEW TO THIS EDITION:Fully update

57

An Introduction To Infinite Dimensional Analysis (Universitext)

Giuseppe Da Prato

4.1
Based on well-known lectures given at Scuola Normale Superiore in Pisa, this book introduces analysis in a separable Hilbert space of infinite dimension. It starts from the definition of Gaussian measures in Hilbert spaces, concepts such as the Cameron-Martin formula, Brownian motion and Wiener integral are introduced in a simple way. These concepts are then used to illustrate basic stochastic dyn
R for Data Science book cover58

R for Data Science

Hadley Wickham

4.1
Scale: The Universal Laws of Growth, Innovation, Sustainability, and the Pace of Life in Organisms, Cities, Economies, and Companies book cover59

Scale: The Universal Laws of Growth, Innovation, Sustainability, and the Pace of Life in Organisms, Cities, Economies, and Companies

Geoffrey West

4.1
The former head of the Sante Fe Institute, visionary physicist Geoffrey West is a pioneer in the field of complexity science, the science of emergent systems and networks. The term “complexity” can be misleading, however, because what makes West’s discoveries so beautiful is that he has found an underlying simplicity that unites the seemingly complex and diverse phenomena of living systems, includ
Introduction to Probability, Second Edition book cover60

Introduction to Probability, Second Edition

Joseph K. Blitzstein and Jessica Hwang

4.1
Visual Explanations book cover61

Visual Explanations

Edward R. Tufte

4.1
Few would disagree: Life in the information age can be overwhelming. Through computers, the Internet, the media, and even our daily newspapers, we are awash in a seemingly endless stream of charts, maps, infographics, diagrams, and data. Visual Explanations is a navigational guide through this turbulent sea of information. The book is an essential reference for anyone involved in graphic, web, or
62

Lady Luck: The Theory of Probability

Warren Weaver

4.1
"Should I take my umbrella?" "Should I buy insurance?" "Which horse should I bet on?" Every day ― in business, in love affairs, in forecasting the weather or the stock market questions arise which cannot be answered by a simple "yes" or "no." Many of these questions involve probability. Probabilistic thinking is as crucially important in ordinary affairs as it is in the most abstruse realms of sci
The Elements of Statistical Learning: Data Mining, Inference, and Prediction book cover63

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie, Robert Tibshirani, Jerome Friedman

4.1

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Ma

64

Probability and Random Processes

Geoffrey R. Grimmett, David R. Stirzaker

4.1
This book gives an introduction to probability and its many practical application by providing a thorough, entertaining account of basic probability and important random processes, covering a range of important topics. Emphasis is on modelling rather than abstraction and there are new sections on sampling and Markov chain Monte Carlo, renewal-reward, queueing networks, stochastic calculus, and opt
Second Chance Ranch book cover65

Second Chance Ranch

Liz Isaacson

4.1
Do Squire and Kelly have enough patience and faith to make their second chance possible? After his deployment, injured and discharged Major Squire Ackerman returns to Three Rivers Ranch, anxious to prove himself capable of running the cattle operation so his parents can retire. Things would be easier if the ranch wasn't missing 1.6 million dollars, which forces Squire to hire Kelly, the girl who r
66

Data Management Using Stata: A Practical Handbook

Michael N. Mitchell

4.1
Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, the author takes a modular approach that enables readers to quickly identify and implement the necessary task without having to access background information first. Each section in the chapt
Discovering Statistics Using IBM SPSS Statistics book cover67

Discovering Statistics Using IBM SPSS Statistics

Andy Field

4.1
68

Probably Pistachio (MathStart Level 2)

Stuart J. Murphy and Marsha Winborn

4.1
69

Probability Theory

R.G. Laha and V.K. Rohatgi

4.1
A comprehensive, self-contained, yet easily accessible presentation of basic concepts, examining measure-theoretic foundations as well as analytical tools. Covers classical as well as modern methods, with emphasis on the strong interrelationship between probability theory and mathematical analysis, and with special stress on the applications to statistics and analysis. Includes recent developments
70

Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications

Nassim Nicholas Taleb

4.1
The book investigates the misapplication of conventional statistical techniques to fat tailed distributions and looks for remedies, when possible. Switching from thin tailed to fat tailed distributions requires more than "changing the color of the dress." Traditional asymptotics deal mainly with either n=1 or n=∞, and the real world is in between, under the "laws of the medium numbers"-which vary
A First Course in Probability book cover71

A First Course in Probability

Sheldon Ross

4.1
This elementary introduction to the mathematical theory of probability is for students in mathematics, engineering, and the sciences who possess the prerequisite knowledge of elementary calculus. A software diskette provides an easy-to-use tool for students to derive probabilities for binomial.
72

Chances Are . . .: Adventures in Probability

Michael Kaplan, Ellen Kaplan

4.1
"The twin disciplines of probability and statistics underpin almost every modern science and sketch the shape of most human activities, whether politics, economics, medicine, law, or sports. For gamblers, risk buyers, forensic experts, magicians, artificial intelligence researchers, doctors, or military strategists, probability's tangle of incomplete certainties presents less a burden than an enth
73

Probability Theory and Stochastic Processes

Y. Mallikarjuna Reddy

4.0
Risk Savvy: How to Make Good Decisions book cover74

Risk Savvy: How to Make Good Decisions

Gerd Gigerenzer

4.0
An eye-opening look at the ways we misjudge risk every day and a guide to making better decisions with our money, health, and personal lives

In the age of Big Data we often believe that our predictions about the future are better than ever before. But as risk expert Gerd Gigerenzer shows, the surprising truth is that in the real world, we often get better results by using simple rules and consider
75

Data Analysis: A Bayesian Tutorial

Devinderjit Sivia, John Skilling

4.0
Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.

This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian p
Pattern Classification book cover76

Pattern Classification

Richard O. Duda, Peter E. Hart, David G. Stork

4.0
The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and
77

Stochastic Processes

Robert G. Gallager

4.0
This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instils a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to modelling real-world systems. It includes a careful review of elementary probability and detailed coverage of
78

Probability Theory: A Concise Course

Y.A. Rozanov

4.0
This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, a detailed treatment of Markov chains, continuous Markov processes, and more. Includes 150 problems, many with answers. Indispensable to mathematicians and natural scientists alike.
Beat the Dealer: A Winning Strategy for the Game of Twenty-One book cover79

Beat the Dealer: A Winning Strategy for the Game of Twenty-One

Edward O. Thorp

4.0
The Book That Made Las Vegas Change the Rules
Over 1,000,000 Copies in Print


Edward O. Thorp is the father of card counting, and in this classic guide he shares the revolutionary point system that has been successfully used by professional and amateur card players for generations. This book provides:

o an overview of the basic rules of the game
o proven winning strategies ranging from simple to advan
Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, Lego, and Rubber Ducks book cover80

Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, Lego, and Rubber Ducks

Will Kurt

4.0
Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples.

Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.

This book will give you a complete understanding of Bayesi
The Joy of x: A Guided Tour of Math, from One to Infinity book cover81

The Joy of x: A Guided Tour of Math, from One to Infinity

Steven Strogatz

4.0
A world-class mathematician and regular contributor to the New York Times hosts a delightful tour of the greatest ideas of math, revealing how it connects to literature, philosophy, law, medicine, art, business, even pop culture in ways we never imagined

Did O.J. do it? How should you flip your mattress to get the maximum wear out of it? How does Google search the Internet? How many people should y
82

Probability Theory: A Comprehensive Course

Achim Klenke

4.0
This text is a comprehensive course in modern probability theory and its measure-theoretical foundations. Aimed primarily at graduate students and researchers, the book covers a wide variety of topics, such as limit theorems for sums of random variables, martingales, percolation, and Markov chains and electrical networks.
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) book cover83

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani

4.0
Deep Learning: Foundations and Concepts book cover84

Deep Learning: Foundations and Concepts

Christopher M. Bishop

4.0
85

Probability and Measure

Patrick Billingsley

4.0
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied
86

Probability (Graduate Texts in Mathematics) (v. 95)

Albert N. Shiryaev and R. P. Boas

4.0
This book contains a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks, martingales, Markov chains, ergodic theory, weak convergence of probability measures, stationary stochastic processes, and the Kalman-Bucy filter. Many examples are discussed in detail, and there are a large number of
87

An Introduction to Probability and Inductive Logic

Ian Hacking

4.0
This is an introductory textbook on probability and induction written by one of the world's foremost philosophers of science. The book has been designed to offer maximal accessibility to the widest range of students (not only those majoring in philosophy) and assumes no formal training in elementary symbolic logic. It offers a comprehensive course covering all basic definitions of induction and pr
A Field Guide to Lies: Critical Thinking with Statistics and the Scientific Method book cover88

A Field Guide to Lies: Critical Thinking with Statistics and the Scientific Method

Daniel J. Levitin

4.0
From The New York Times bestselling author of THE ORGANIZED MIND and THIS IS YOUR BRAIN ON MUSIC, a primer to the critical thinking that is more necessary now than ever.

We are bombarded with more information each day than our brains can process—especially in election season. It's raining bad data, half-truths, and even outright lies. New York Times bestselling author Daniel J. Levitin shows how t
Risk: The Science and Politics of Fear book cover89

Risk: The Science and Politics of Fear

Dan Gardner

4.0
We are the safest humans who ever lived - the statistics prove it. And yet the media tells a different story with its warnings and scare stories. How is it possible that anxiety has become the stuff of daily life?

In this ground-breaking, compulsively readable book, Dan Gardner shows how our flawed strategies for perceiving risk influence our lives, often with unforeseen and sometimes-tragic conseq
90

Works on Paper

Eliot Weinberger

4.0
During the past several years, Eliot Weinberger's inventive prose has earned him a reputation as a candid social observer and penetrating essayist. Works on Paper is the first collection of his writings, twenty-one pieces that juxtapose the world as it is and the world as it is imagined-by artists, poets, historical figures, and ordinary people.
“Inventions of Asia”, the first section, deals primar
91

The Probability Tutoring Book: An Intuitive Course for Engineers and Scientists (and Everyone Else!)

Carol Ash

4.0
A self-study guide for practicing engineers, scientists, and students, this book offers practical, worked-out examples on continuous and discrete probability for problem-solving courses. It is filled with handy diagrams, examples, and solutions that greatly aid in the comprehension of a variety of probability problems.
Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition book cover92

Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition

Wayne L. Winston, Scott Nestler, and Konstantinos Pelechrinis

4.0
Causal Inference: The Mixtape book cover93

Causal Inference: The Mixtape

Scott Cunningham

4.0
Statistics All-in-One For Dummies book cover94

Statistics All-in-One For Dummies

Deborah J. Rumsey

4.0
95

The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day

David J. Hand

4.0
In The Improbability Principle, the renowned statistician David J. Hand argues that extraordinarily rare events are anything but. In fact, they’re commonplace. Not only that, we should all expect to experience a miracle roughly once every month.
But Hand is no believer in superstitions, prophecies, or the paranormal. His definition of “miracle” is thoroughly rational. No mystical or supernatural e
Probabilistic Graphical Models: Principles and Techniques book cover96

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller, Nir Friedman

4.0
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.

Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The
97

The Science of Conjecture: Evidence and Probability Before Pascal

James Franklin

4.0
How did we make reliable predictions before Pascal and Fermat's discovery of the mathematics of probability in 1654? What methods in law, science, commerce, philosophy, and logic helped us to get at the truth in cases where certainty was not attainable? In The Science of Conjecture, James Franklin examines how judges, witch inquisitors, and juries evaluated evidence; how scientists weighed reasons
Super Crunchers: Why Thinking-By-Numbers Is the New Way to Be Smart book cover98

Super Crunchers: Why Thinking-By-Numbers Is the New Way to Be Smart

Ian Ayres

4.0
Why would a casino try and stop you from losing? How can a mathematical formula find your future spouse? Would you know if a statistical analysis blackballed you from a job you wanted?Today, number crunching affects your life in ways you might never imagine. In this lively and groundbreaking new book, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive data
99

Introduction to Linear Algebra

Gilbert Strang

4.0
Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains all the qualities of earlier editions while at the same time seeing numerous minor improvements and major additions. The latter include: - A new chapter on singular values and singular vect
100

Counterexamples in Probability: Third Edition

Jordan M. Stoyanov

4.0
Most mathematical examples illustrate the truth of a statement; conversely, counterexamples demonstrate a statement's falsity if changing the conditions. Mathematicians have always prized counterexamples as intrinsically enjoyable objects of study as well as valuable tools for teaching, learning, and research. This third edition of the definitive book on counterexamples in probability and stochast