ARE 210, Fall 2015

ECON 140, Summer 2011

ARE 212, Spring 2011

PS 239, Spring 2009

PS 236, Fall 2008

PH 126, Spring 2008

UGBA 101A, Fall 2007

ARE 210: Probability and Statistics
University of California, Berkeley

Course information

Lecturer: Charlie Gibbons [homepage | e-mail]

Lecture: Mondays and Wednesdays, 5--6:30pm
Location: Giannini 201

My office hours: After class (Giannini 234) or by appointment



The first day of class is Wednesday, August 26.

The take-home midterm will become available on Monday, October 26 at 5pm and will be due at the start of lecture on Wednesday, October 28.

Assignments and exams

Problem set 1 [solutions| R code | knitr]
Problem set 2 [solutions]
Problem set 3 [ solutions]
Problem set 4 [ solutions part 1 | solutions part 2]
Midterm exam [ solutions]
Problem set 5 [data | solutions]
Problem set 6 [solutions]
Final exam [data | solutions]


Introduction to Probability Theory [slides | notes | simulation]
Conditional Probability and Bayes' Rule [slides | notes]
Random Variables [slides | notes]
Probability Models in Econometrics [slides | notes]
Expectations [slides | notes]
Rubin Causal Model [slides | notes]
Limiting Distributions [slides | notes | code]
Point Estimation [slides | notes | code]
Maximum Likelihood Examples
Autoregressive Models [slides | notes]
Sampling Techniques [slides | notes]
Parametric Statistical Inference [slides | notes]
Bootstrapping [slides | notes]
Non-Nested Likelihood Ratio Test: A Bootstrapping Example [data]
Fisher's Exact Test and its Extensions [slides | notes]
Bayesian Analysis [slides | notes]

Other files

Simulation in R
Beamer example

R resources

A Video Introduction to R courtesy of Google
Notes on R: A Programming Environment for Data Analysis and Graphics
R quick reference card
Econometrics in R
Google's R Style Guide
R Programming Wikibook
Emacs and ESS
R in a Nutshell by Joseph Adler
R Inferno (see, especially, The Eighth Circle)
Stack Overflow's R Q&A board
ggplot2 Reference Manual
knitr (to link R and LaTeX)
Matlab/R Reference Guide

Creative Commons License
My teaching materials are licensed under a Creative Commons Attribution-Noncommercial 3.0 United States License.