122/290: Bayesian and Modern Data Analysis
The course assumes knowledge of basic probability theory and statistical models at
the level of Statistical Inference by George Casella and Roger Berger.
This is the book used in STA 213.
We will refer to this book from time to time for basic distribution theory and classical
inference. This book is recommended if you do not already have a copy, but other basic
probability and statistics texts can be substituted. Casella and Berger's text will be available in the
Useful references for the R programming language include:
Introduction to R (PDF file at CRAN) gives an introduction to the language and how to use R for doing
statistical analysis and graphics.
- Data Analysis
and Graphics Using R by J. Maindonald and J. Braun. Covers more advanced methods
than An Introduction to R.
- Modern Applied Statistics
with S by Venables and Ripley. Programming and statistical modeling
in both R and S-Plus.
- Bayesian Computation with R, by Jim Albert. Has many R codes for advanced Bayesian modeling.
Analysis and Data Display by Richard
Heiberger and Burt Holland. Contains many statistical modeling techniques with R code.
Useful reference books for LaTeX include:
- LATEX: A Document Preparation
System -- User's Guide and Reference Manual by Leslie Lamport,
published by Addison-Wesley. 2nd Edition.
- The LaTeX Companion
by M Goossens, F Mittelbach and A Samarin, published by Addison-Wesley.
- A Guide to LaTeX -- Document
Preparation for Beginners and Advanced Users by H. Kopka
and P. Daly, published by Addison-Wesley.
- Math into LaTeX -- An Introduction
to LaTeX and AMS-LaTeX by George Gratzer, published by
Most researchers in statistical science write in
LaTeX. In the Department of Statistical Science, it is the
preferred word processor for PhD and Masters theses, and for
undergraduate major research project papers. So, if you are on
one of these tracks, it is worth learning some LaTex in this course.
Please check the computing page for additional links
to support material on R, LaTeX, and emacs.