Here are some Lecture notes on conditioning relevant to the material and homework for weeks 8 and 9.

STATISTICS 205A tentative schedule

WeekstarttopicsBillingsleyDurrett
1Aug 30 Fields, sigma-fields, measurable functions, measures 2,10,13 A1
2 Sep 6 Lebesgue measure, distribution functions, coin-tossing, abstract integration 3,12,15 1.1, A2,3,4
3 Sep 13 Probability spaces, random variables, expectation, inequalities 4,5,20 1.2,1.3, A5
4 Sep 20 Independence, WLLN, Bernstein's theorem 6,20 1.4, 1.5
5 Sep 27 a.s. limit theorems (max of exponentials, head-runs), modes of convergence, dominated convergence, Fatou, 4'th moment SLLN 6,21 1.6
6 Oct 4 Glivenko-Cantelli, SLLNs, maximal inequality, convergence of random series 22 1.7, 1.8
7 Oct 11 Renewal SLLN, stopping times, Wald's equation; Kolmogorov 0-1 law; large deviations 22, 9 3.1, 1.9
8Oct 18 Radon-Nikodym; joint distributions correspond to marginals and a kernel 32, 33 4.1, A8
9Oct 25 Product measure, Fubini's theorem and examples. Kolmogorov consistency theorem. Conditional expectation 18, 34, 36 4.1, A6,7
10 Nov 1 Conditional expectation (continued). Definition and examples of martingales 35 4.2
11Nov 8 Convexity, optional sampling, MG analog of Wald, RW examples. 35 4.3, 4.7
12 Nov 15 Maximal and upcrossing inequalities, MG convergence theorems, Levy 0-1 law, L_p convergence, play red 35 4.3, 4.4, 4.5
13Nov 22 Proof of Radon-Nikodym, a.s convergence of sums, reversed MGs and SLLN, de Finetti's theorem, Azuma's inequality. 354.3, 4.7
14Nov 29 Brownian motion (continues next week) 37 7.1 - 7.5

Homework assignments

Here are the Homework assignments as a Postscript document. Note that week n homework is intended to cover material done in class during week n, and is due (in class) on the Wednesday of week n+1. There is no homework for weeks 8, 14, 15.