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 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 ...

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 ...

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...

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,...

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 ...

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 ...

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...

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.

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 ...