Reading-List (Under Construction)

Books I am currently reading and learning from.

Asymptotic Statistics

• Asymptotic Statistics by A. W. van der Vaart Amazon Link
  • Ongoing

Bayesian Statistics

• A First Course in Bayesian Statistical Methods (Springer Texts in Statistics) Amazon Link
  • Finished by Jan 2020
  • Comment: Just as the name, it is a very good starting-point book for Bayesian Statistics. Providing an abundance of examples and codes, the book demonstrates a fairly complete skeleton of Bayesian Statistics. One thing can be a problem is that the code is not printed in typical code-like form which may cause subtle confusion.

• Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) Amazon Link
  • Ongoing as the TEXTBOOK of STAT568

• Statistical Rethinking: A Bayesian Course with Examples in R and Stan Amazon Link
  • Not Started

Categorical Statistics

• Categorical Data Analysis 3rd Edition Amazon Link
  • Finished by Nov 2019

Statistical Programming

• R for Data Science: Import, Tidy, Transform, Visualize, and Model Data Amazon Link
  • Finished by Nov 2019

• Advanced R, Second Edition (Chapman & Hall/CRC The R Series) Amazon Link
  • Finished by May 31 2020
  • Comment: Functional, OOP & Metaprogramming

• ggplot2: Elegant Graphics for Data Analysis (Use R!) Amazon Link
  • Finished by June 2019

Statistical Theory

• Statistical Inference 2nd Edition by George Casella et al Amazon Link
  • Finished most chapters

• Mathematical Statistics by Jun Shao Amazon Link
  • Ongoing

Real Analysis

• 实变函数简明教程 (Chinese) Amazon Link
  • Finished by March 19 2020
  • Comment: Concise and surprisingly understandable. I hope I could meet this book earlier.

Statistical Learning

• The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition Amazon Link
  • Finished most chapters

Probability Theory

• Probability: Theory and Examples Amazon Link
  • Ongoing

• Introduction to Probability Models 12th Edition Amazon Link
  • Ongoing
  • Comment: It's more like a stochastic process textbook instead of probability one

Computer Science

• Introduction to Algorithms by C.L.R.S. Amazon Link
  • Finished most chapters as the TEXTBOOK of CS512 by April 2019
  • Comment: The 'Bible' of Algorithm Learners. No need my comment. I recommend reading it along with Algorithm by Dasgupta

• Learning Python, 5th Edition Amazon Link
  • Finished by July 2019
  • Comment: A thorough book for Python. If you have enough time and patience, just read it and you will learn almost everything about Python