STAT 344 - SEMINAR IN DATA ANALYSIS
TOPIC FOR SPRING '04: DISCRETE MARKOV CHAIN MONTE CARLO
INSTRUCTOR: GEORGE COBB
Chapter 1
Introduction to Discrete Markov Chain Monte Carlo
Microsoft Word | Adobe Acrobat
Chapter 2
Randomization Tests
Microsoft Word | Adobe Acrobat
Chapter 3
Convergence of the p-value Algorithm
Microsoft Word | Adobe Acrobat
Chapter 4
Random Walks on Graphs
Microsoft Word | Adobe Acrobat
Chapter 5
Markov Chains
Microsoft Word | Adobe Acrobat
Chapter 6
The Metropolis Algorithm
Microsoft Word | Adobe Acrobat
Chapter 7
Graph Walks via Random Swaps
Microsoft Word | Adobe Acrobat
Chapter 8
Mixing Rates for Markov Chains
Microsoft Word | Adobe Acrobat
Chapter 9
Geometric Bounds on Eigenvalues
Microsoft Word | Adobe Acrobat
Department of
Mathematics & Statistics | Mount
Holyoke College
Last updated on
Friday, November 12, 2004 12:30 PM .