Title: Probability Theory: The Logic of Science, Author: E. T. Jaynes
Title: An Introduction to Statistical Learning: with Applications in R, Author: Gareth James
Title: Statistical Inference, Author: George Casella
Title: Statistics for Non-Statisticians, Author: Birger Madsen
Title: Random Data: Analysis and Measurement Procedures, Author: Julius S. Bendat
Title: Statistics for Making Decisions, Author: Nicholas T. Longford
Title: Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction, Author: Guido W. Imbens
Title: Probability and Statistics for Machine Learning: A Textbook, Author: Charu C. Aggarwal
Title: Sampling: Design and Analysis, Author: Sharon L. Lohr
Title: Neural Networks and Deep Learning: A Textbook, Author: Charu C. Aggarwal
Title: Probability: Theory and Examples, Author: Rick Durrett
Title: Probability on Trees and Networks, Author: Russell Lyons
Title: Introduction to Probability, Second Edition, Author: Joseph K. Blitzstein
Title: High-Dimensional Probability: An Introduction with Applications in Data Science, Author: Roman Vershynin
Title: Fundamentals of Nonparametric Bayesian Inference, Author: Subhashis Ghosal
Title: A First Course in Bayesian Statistical Methods, Author: Peter D. Hoff
Title: Introduction to Data Science: Data Wrangling and Visualization with R, Author: Rafael A. Irizarry
Title: Statistical Rethinking: A Bayesian Course with Examples in R and STAN, Author: Richard McElreath
Title: Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues, Author: Pierre Brïmaud
Title: A First Course in Causal Inference, Author: Peng Ding

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