Date	Subject
8-21	Likelihood: Philosophical foundations	R
8-23	Norms, convergence, and continuity	R
8-28	Vector calculus	R
8-30	O notation, Taylor series, matrix algebra	R
9-04	No class: Labor Day
9-06	Multivariate normal	R
9-11	Stochastic convergence	R
9-13	(cont’d)
9-18	Characteristic functions
9-20	Lindeberg-Feller Central Limit Theorem	R
9-25	Transformations	R
9-27	Exponential families	R
10-02	Score and information	R
10-04	EXAM 1
10-09	(cont’d)
10-11	Likelihood: consistency	R
10-16	(cont’d)
10-18	Likelihood: asymptotic normality	R
10-23	Likelihood: efficiency
10-25	Score, Wald, LRT
10-30	(cont’d)
11-01	Extended example: Poisson regression	R
11-06	Profile likelihood	R
11-08	Conditional likelihood
11-13	Marginal likelihood	R
11-15	EXAM 2
11-20	No class: Thanksgiving break
11-22	No class: Thanksgiving break
11-27	Pseudo likelihood	R
11-29	(cont’d)
12-04	Penalized likelihood	R
12-06	Quasi likelihood	R