STATISTICS 205B tentative schedule Spring 2006

WeekstarttopicsBillingsleyDurrett
1Jan 16Measure-theory background to Markov chains 5.1
2Jan 23 Markov chains: examples and elementary properties. Strong Markov property. 5.1, 5.2
3 Jan 30 Classification of states; recurrent and transience, invariant measures. 5.2, 5.3
4 Feb 6 Existence and convergence results for invariant measures; coupling. 5.4, 5.5
5Feb 13a.s. ergodic theorem; Metropolis; mixing times and coupling.5.5
6Feb 20 Markov chains and martingales; iterated function systems. .
7 Feb 27 Martingales (continued from 205A). Levy 0-1 law. Conditional Borel-Cantelli. Kakutani dichotomy. Galton-Watson processes. Randon-Nikodym theorem. 4.3
8 Mar 6 Azuma's inequality. Boundary crossing inequalities. General forms of optional sampling theorem. 4.7
9 Mar 13 IID large deviation theorem. Start topics below. 1.9
10 Mar 20 Review characteristics functions (205A). Infinitely divisible laws; Poisson limits. Weak convergence and CLT in R^d; method of moments; convergence of types; extremal laws. (selected topics as time permits). 28, 29, 30, 14 2.6, 2.8, 2.9
11Apr 3 Ergodic theorem; applications to RW 6.1, 6.2, 6.3
12Apr 10 Entropy; subadditive ergodic theorem and applications. 6.5, 6.6
13 - 15Apr 17 Brownian motion Chap. 7
15May 4In class final .

Homework assignments

Here are the Homework assignments as a PDF document. Note that week n homework is intended to cover material done in class during week n, and is due (in class) on the Tuesday of week n+1. Currently there are homework assignments for weeks 2 - 12 only; more will be added.