Arjun Srivastava's Library
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Arjun Srivastava's Library

Advanced R, Second Edition
Hadley Wickham
Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different...
The Algorithm Design Manual
Steven S Skiena
This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary t...
The Art of R Programming: A Tour of Statistical Software Design
Norman Matloff
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to asses...
The Basics of Item Response Theory Using R
Frank B. Baker , Seock-Ho Kim
This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the mos...
The Book of Why: The New Science of Cause and Effect
Judea Pearl and Dana Mackenzie
The hugely influential book on how the understanding of causality revolutionized science and the world, by the pioneer of artificial intelligence'Wonderful ... illuminating and fun to read' Daniel Kahneman, Nobel Prize-winner and author of Thinking,...
Calling Bullshit: The Art of Scepticism in a Data-Driven World
Jevin D. West and Carl T. Bergstrom
An indispensable handbook to the art of scepticism from two brilliantly contrarian scientists. We think we know bullshit when we hear it, but do we?Politicians are unconstrained by facts. Science is conducted by press release. Start-up culture eleva...
Causal Inference in Statistics, Social, and Biomedical Sciences
Guido W. Imbens , Donald B. Rubin
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for ...
Concepts of Modern Mathematics
Ian Stewart
Some years ago, "new math" took the country's classrooms by storm. Based on the abstract, general style of mathematical exposition favored by research mathematicians, its goal was to teach students not just to manipulate numbers and formulas, but to...
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie and Robert Tibshirani and Jerome Friedman
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 ...
The ergodicity problem in economics
Ole Peters
Nature Physics, doi:10.1038/s41567-019-0732-0
Ggplot2: Elegant Graphics for Data Analysis
Hadley Wickham
1. 1 Welcome to ggplot2 ggplot2 is an R package for producing statistical, or data, graphics, but it is unlike most other graphics packages because it has a deep underlying grammar. This grammar, based on the Grammar of Graphics (Wilkinson, 2005), is...
Group Theory and Physics
S. Sternberg
This book is an introduction to group theory and its application to physics. The author considers the physical applications and develops mathematical theory in a presentation that is unusually cohesive and well-motivated. The book discusses many mod...
Hands-On Programming With R: Write Your Own Functions and Simulations
Garrett Grolemund
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, wr...
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Pedro Domingos
"Wonderfully erudite, humorous, and easy to read." --KDNuggetsIn the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want,...
Numerical Optimization
Jorge Nocedal and Stephen Wright
Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods...
The Phantom Pattern Problem: The Mirage of Big Data
Gary Smith and Jay Cordes
Pattern-recognition prowess served our ancestors well, but today we are confronted by a deluge of data that is far more abstract, complicated, and difficult to interpret. The number of possible patterns that can be identified relative to the number ...
Probability Theory: The Logic of Science
E. T. Jaynes
The standard rules of probability can be interpreted as uniquely valid principles in logic.
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
Jd Long and Paul Teetor
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-o...
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham and Garrett Grolemund
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for ...
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham and Garrett Grolemund
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for ...
The Seven Pillars of Statistical Wisdom
Stephen M. Stigler
What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science and one which often seems counterintuitive. His ...
Short-Cut Math
Gerard W. Kelly
Can you multiply 362 x .5 quickly in your head? Could you readily calculate the square of 41? How much is 635 divided by 2½? Can 727,648 be evenly divided by 8? If any of these questions took you more than a few seconds to solve, you need this book....
The Signal and the Noise: The Art and Science of Prediction
Nate Silver
The International Bestseller by 'The Galileo of number crunchers' (Independent)Every time we choose a route to work, decide whether to go on a second date, or set aside money for a rainy day, we are making a prediction about the future. Yet from the...
Skin in the Game: Hidden Asymmetries in Daily Life
Nassim Nicholas Taleb
#1 NEW YORK TIMES BESTSELLER • A bold work from the author of The Black Swan 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 boo...
Solving Mathematical Problems: A Personal Perspective
Terence Tao
Authored by a leading name in mathematics, this engaging and clearly presented text leads the reader through the various tactics involved in solving mathematical problems at the Mathematical Olympiad level. Covering number theory, algebra, analysis,...
Statistical Analysis With Missing Data
Roderick J. A. Little and Donald B. Rubin
* Emphasizes the latest trends in the field. * Includes a new chapter on evolving methods. * Provides updated or revised material in most of the chapters.
Street-Fighting Mathematics: The Art of Educated Guessing and Opportunistic Problem Solving
Sanjoy Mahajan
An antidote to mathematical rigor mortis, teaching how to guess answers without needing a proof or an exact calculation.In problem solving, as in street fighting, rules are for fools: do whatever works—don't just stand there! Yet we often fear an un...
Theory of Financial Risk and Derivative Pricing: From Statistical Physics to Risk Management
Jean-Philippe Bouchaud and Marc Potters
Risk control and derivative pricing have become of major concern to financial institutions, and there is a real need for adequate statistical tools to measure and anticipate the amplitude of the potential moves of the financial markets. Summarising ...
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Cathy O'Neil
Longlisted for the National Book Award | New York Times Bestseller A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life and threaten to rip apart our social fabric.** We live in the age of the algorithm. I...
Who Gets What -- and Why: The New Economics of Matchmaking and Market Design
Alvin E. Roth
A Nobel laureate reveals the often surprising rules that govern a vast array of activities -- both mundane and life-changing -- in which money may play little or no role. If you've ever sought a job or hired someone, applied to college or guided you...
Why Stock Markets Crash: Critical Events in Complex Financial Systems
Didier Sornette
The scientific study of complex systems has transformed a wide range of disciplines in recent years, enabling researchers in both the natural and social sciences to model and predict phenomena as diverse as earthquakes, global warming, demographic p...