Instructor: Likai Chen (likai.chen[at]wustl.edu)
This a temporary schedule and will be updated as the semester goes.
Most marterials are borrowed from Mladen Victor Wickerhauser
Materials related to Bayesian analysis are borrowed from Matthew Stephens
| Week | Topic | Chapters | Homeworks | Handouts |
|---|---|---|---|---|
| Week 1: 1/13, 01/15, 01/17 | Probability, Discrete Probability Distributions |
MeanandVariance.txt Plot.txt Rmarkdown_demo Lecture 1 Lecture 2 |
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| Week 2: MLK, 01/22 , 01/24 | Continuous Probability Distributions |
Lecture 3 MultipleNormal |
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| Week 3: 01/27, 01/29, 01/31 | Point Estimation, CI |
hw1_solution.Rmd hw1_solution.pdf |
Lecture 4 Lecture 5 |
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| Week 4: 02/03, 02/05, 02/07 | CI, Hypothesis Testing |
Lecture 6 t_test.R |
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| Week 5: 02/10, 02/12, 02/14 | Hypothesis Testing, Non-parametric test |
Lecture 7 NoteforTesting signedtest.R |
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| Week 6: 02/17, 02/19, 02/21 | Chisquare test, Survival analysis |
hw2_solution.pdf |
Lecture 8 Lecture 9 |
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| Week 7: 02/24, 02/26, 02/28 | Survival Analysis |
hw3_solution.pdf |
2018 year midterm Lecture 10 Lecture 11 Power |
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| Week 8: 03/03, midterm (03/05), 03/07 | 2019Midterm_Solution 2018Midterm_Solution (The remaining questions in the 2018 exam are beyond the scope.) |
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| Week 9: Spring Break | ||||
| Week 10: 03/17, 03/19, 03/21 | Introduction to Bayesian Analysis, Prior distribution |
BayesianIntro BayesianPrior |
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| Week 11: 03/24, 03/26, 03/28 | Prior distribution, Posterior distribution |
BayesianPost |
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| Week 12: 03/31, 04/02, 04/04 | MarkovChain introduction, MCMC |
MarkovChain |
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| Week 13: 04/07, 04/09, 04/11 | MCMC, importance sampling |
MarkovChain MCMC ImportanceSampling.Rmd |
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| Week 14: 04/14, 04/16, 04/18 |
nci.data.txt nci.names.txt clustering.r classtree.r bootstrap.r isomap.r |
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| Week 15: 04/21, 04/23, 04/25 | ||||
| Week 16: Final Week | Final TBD |