Calendar

(Week 1) Recap of Probability Theory

Aug 25
Random Variables, Distributions, Expectation, Variance, Inverse CDF, Moment Generating Functions (MGF)
Chapter 2 and 4
Aug 27
MGF continued, Joint and Conditional Distribution, Conditional Expectation, Chisquared R.V. Change of variable formula
Chapter 3 (3.5, 3.6) and Chapter 4 (4.4).
Aug 29
HW 1 released on Canvas
Due on Sep 12.

(Week 2) Sample Surveys

Sep 1
No Class due to Labor Day
Sep 3
Introduction to sample surveys, Sampling bias, Simple random sampling with replacement vs. without replacement, properties of sample mean
Chapter 7.1 - 7.3.1

(Week 3) Sample Surveys

Sep 8
Variance of sample mean for sampling with and without replacement, estimation of the population variance
Chapter 7.3.1 - 7.3.2
Sep 10
Central Limit Theorem, Asymptotic properties of sample mean, confidence intervals
Chapter 7.3.3
Sep 12
HW 1 is due on Gradescope
HW 2 released on Canvas
Due on Sep 26.

(Week 4) Parametric Estimation

Sep 15
Confidence intervals continued. Introduction to parameter estimation, fitting distributions, method of moments, examples.
Chapter 8.1 - 8.4
Sep 17
Examples of the method of moments. Maximum Likelihood Estimates (MLE)
Chapter 8.5

Solve Warmup and Practice Problems released on canvas

(Week 5) Parametric Estimation

Sep 22
Desirable properties of estimators: unbiasedness, consistency. The concept of UMVUE, Fisher Information, and Cramer-Rao Lower Bound (CRLB)
Chapter 8.7, 8.5.2
Sep 24
Proof of CRLB, Asymptotic Properties of MLE and other estimates, and confidence intervals
Chapter 8.5.2 - 8.5.3
Sep 16
HW 2 is due on Gradescope
HW 3 released on Canvas
Due on Oct 10.

(Week 6) Hypothesis Testing

Sep 29
The the delta method, Introduction to Bayesian Inference
Chapter 8.6
Oct 1
Credible Intervals, Introduction to hypothesis testing
Chapter 6.3, 9.1 - 9.2

(Week 7) Hypothesis Testing and Midterm Review

Oct 6
The Neyman-Prearson paradigm and optimal tests
Chapter 9.2
Oct 8
Midterm Review
Oct 10
HW 3 is due on Gradescope

(Week 8) Midterm 1

Oct 13
No class due to midterm break.
Oct 15
Midterm 1
In class, 11:30am - 1:00pm