Homework:
- Friday Jan 9: 3.3.9 (note: x^2 is not bounded!), 3.3.10
- Friday Jan 16: 5.1.2, 5.1.3, 5.1.9
- Friday Jan 23: 5.2.6, 5.2.9 and apply it to Y_n = e^(t Z_n)/mgf(t), Z_n Bernoulli p (this is closely related to Wald's identity for stopping a sum at a random time, which will follow from the optional stopping theorem) (some solutions)
- Friday Jan 30: 5.2.4, 5.3.13
- Friday Feb 6 Midterm
- Friday Feb 13: plot the 8 trajectories of the chromatic number martingale with respect to the vertex exposure filtration, using p=1/2 for including edges and 3 vertices, and verify that increments are bounded by 1, sketch of solution
- Friday Feb 20: 6.2.4, 6.2.9 note: 6.2.9 is the DAG model for exchangeability of X_i. Use the Beta density to get the integrals to compute the transition function. The transition probabilities are given by P(S_{n+1}-S_{n}=1 | X_1, ..., X_n) = ( [S_{n}+n]/2 + 1 )/ (n+2), or in our books notation
p_n(i,i+1)=([i+n]/2 + 1)/(n+2), p_n(i,i-1) = ([n-i]/2 + 1)/(n+2) careful with notation.
- Friday Feb 27: 6.3.10 (apply to A={a,b} for symmetric random walk to get expected time-to-ruin), 6.3.11
- Friday Mar 6: 6.5.10 and apply to symmetric rw on Z, 6.6.1.
January 2015
Su Mo Tu We Th Fr Sa
1 2 3
4 5 6 7 8 9 10 3.3
11 12 13 14 15 16 17 5.1
18 19 20 21 22 23 24 5.2, Monday holiday
25 26 27 28 29 30 31 5.2
February 2015
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7 5.3
8 9 10 11 12 13 14 5.7 Optional Stopping Theorem
15 16 17 18 19 20 21 6.1-6.2, Bad Gibbs Sampler
22 23 24 25 26 27 28 6.3-6.4
March 2015
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7 6.5
8 9 10 11 12 13 14 6.6, 6.8
15 16 17 18 19 20 21 final exams
22 23 24 25 26 27 28
29 30 31
last updated: Mar 5 2015