Statistics, Spring 2023

Course Calendar
Lecture Topic(s) Reference Dates Homework / Remarks
1 Course overview, Introduction FPP Jan 11
2 Descriptive statistics FPP Jan 13 Problem Set 1
3 Design of experiments FPP Jan 18
4 Probability, counting, conditional probability Wasserman, FPP Jan 20
5 Independence, Bayes theorem and its applications Wasserman, FPP Jan 25 Problem Set 2
6 Random variables, Common discrete and continuous random variables Wasserman, FPP Jan 27 Problem Set 3
7 Expectation, Moment generating functions Wasserman Feb 1
8 Multivariate distributions, marginals, memorylessness Wasserman Feb 3 Problem Set 4
9 Probability inequalities, convergence of random variables Wasserman Feb 8
10 WLLN, CLT Wasserman Feb 10 Problem Set 5, Quiz 1
11 Correlation FPP ch. 8, 9 Feb 15
12 Regression FPP Feb 17
13 Mid Term examination Feb 18-24
14 Regression FPP Mar 1 Problem Set 6
15 Sampling, Errors in sampling FPP Mar 3
16 Confidence intervals FPP, Wasserman Mar 10 Problem Set 7
17 Chance models FPP Mar 15
18 Hypothesis testing, t-test Wasserman, FPP Mar 17 Project proposal due by March 19
19 Tests for averages Wasserman, FPP Mar 22
20 Chi-square test FPP Mar 24 Problem Set 8
21 Markov chains Wasserman Mar 29
22 Monte Carlo Simulation Wasserman Mar 31
23 Statistical learning JWHT Apr 5
24 Linear regression, Multiple linear regression JWHT Apr 7
25 Perceptron, Logistic regression JWHT Apr 12 Project due Quiz 2
26 LDA JWHT Apr 14
Final examination week start Apr 29