Material Covered by Class Period
Date Got To
Wed Sep 6 Got to R in Text, Section 5.
Fri Sep 8 Got to Chapter 0, Section: Multiple Tests or Intervals.
Mon Sep 11 Got to Chapter 0, Section: Fixing Wald Intervals.
Wed Sep 13 Got to Chapter 0, Section: Chi Squared Test.
Fri Sep 15 Got to Chapter 1, Section: PMF and PDF.
Mon Sep 18 Got to Chapter 1, Section: Linearity Rule and Delta Method.
Wed Sep 20 (Zoomed, video available immediately on Canvas) Got into Chapter 1, Section: Coverage of Confidence Intervals.
Fri Sep 22 (Zoomed, video available immediately on Canvas) Got to Chapter 1, Section: Structural Zeroes but also covered all of
Mon Sep 25 (Zoomed, video available immediately on Canvas) Got to Poisson Distribution, Score Interval.
Wed Sep 27 Got to Fuzzy Hypothesis Tests and Confidence Intervals.
Fri Sep 29 Got to Chi-Square Tests Again, Section on Composite Null Hypotheses.
Mon Oct 2 Got to Notes on Maximum Likelihood.
Wed Oct 4 Got to Notes on Maximum Likelihood: General Wald, Wilks, Rao Tests.
Friday Oct 6 Got into Notes on Maximum Likelihood: Starting Values.
Mon Oct 9 Got into Notes on Maximum Likelihood: Simultaneous Coverage.
Wed Oct 11 Got into Notes on Binomial Regression: Different Link Functions and Latent Variables.
Fri Oct 13 Got into Notes on Binomial Regression: Likelihood Intervals.
Mon Oct 16 Got into Notes on Poisson Regression: Fit Models.
Wed Oct 18 Got into Notes on Poisson Regression: Model Selection the Wrong Way.
Fri Oct 20 Got into Notes on Bayes and MCMC: Bayes.
Mon Oct 23 Got into Notes on Bayes and MCMC: Equilibrium Distributions of Markov Chains.
Wed Oct 25 Got into Notes on Bayes and MCMC: Frequentist Analysis, Try 1.
Fri Oct 27 Got into Notes on Bayes and MCMC: Frequentist Analysis, Try 2.
Mon Oct 30 Got into Notes on Bayes and MCMC: Hierarchical Bayes Philosophy.
Wed Nov 1 Got into Notes Agresti Chapter 8: R Function glmbb.
Fri Nov 3 Got into Notes Agresti Chapter 8: Ordered Categorical.
Mon Nov 6 Got to Notes Agresti Chapter 8: On Pretests.
Wed Nov 8 Got almost to end of Exponential Families: Binomial Distribution (only summary left).
Fri Nov 10 Got to Exponential Families: Pitman-Koopman-Darmois theorem.
Mon Nov 13 Got to Exponential Families: Maximum Entropy.
Wed Nov 15 Got to Exponential Families: Meaninglessness.
Fri Nov 17 Got to Exponential Families: Observed Equals Expected, Quantitative Predictors.
Mon Nov 20 Got to Priors for Volleyball.
Wed Nov 22 Got to All models for 3-way table.
Mon Nov 27 Got to Bootstrap World.
Wed Nov 29 Got to Parametric Bootstrap Hypothesis Tests.
Fri Dec 1 Got to Model Selection/Averaging: Other IC.
Mon Dec 4 Finished Model Selection/Averaging. Will start Graphical Models next time.
Wed Dec 6 Got into Graphical Models: Causality.
Fri Dec 8 Got into MLE at Infinity: Binomial Example.
Mon Dec 11 Got into MLE at Infinity: First Example (Complete Separation) Statistical Inference.
Wed Dec 13 Got through MLE at Infinity: Three Examples of Agresti.