Stat 341
Computational Bayesian Statistics
Spring 2021


[RStudio] [calendar] [test info] [resources] [from class] [homework]
Mon Tue Wed Thu Fri
2/1





2/2





2/3
Introduction to Bayesian Inference
Rethinking 1



2/4





2/5
Conditional Probability

tibble()


2/8
The Grid Method
RMarkdown

Rethinking 2
expand_grid(), mutate()


2/9





2/10
More Grid Approximation
Rethinking 2
function(), sum(), product(), purrr::map2_dbl()


2/11





2/12
Prior and Posterior Sampling
Rethinking 3
slice_sample(), rnorm()


2/15
Bayes and Beta
Conjugate Priors


beta_params(), gf_dist()


2/16





2/17
Quadratic Approximation
Rethinking 4
quap()


2/18





2/19
Posterior sampling for average and individual response
Rethinking 4.3
link(), sim()


2/22
Polynomial Regression
Rethinking 4.5



2/23





2/24
B-splines in Regression
Rethinking 4.5



2/25





2/26
A model start to finish
Rethinking 4



3/1
Multiple Predictors
Spureous Association

Rethinking 5.1



3/2





3/3
Categorical Predictors
Masking

Rethinking 5.2-3



3/4



Advising Day

3/5
Odds and Ends
Rethinking 5



3/8
Test 1




3/9





3/10
Metropolis Algorithm
Rethinking 9



3/11





3/12
Metropolis Algorithm
Rethinking 9



3/15
Metropolis Algorithm
Rethinking 9



3/16





3/17
Gibbs Sampling and HMC
Rethinking 9



3/18





3/19
Multicollinearity
Fitting models with Stan

Rethinking 6
ulam(), stan(), mcmc_areas(), mcmc_pairs(), diag_mcmc(), etc.


3/22
Post-Treatment Bias and DAGs
Rethinking 6.2



3/23



Advising Day

3/24
Collider Bias
Rethinking 6.3



3/25





3/26
Confronting Confounding
Rethinking 6.4



3/29
Interaction
Rethinking 8



3/30





3/31
Interaction
Rethinking 8



4/1





4/2
R2 and its deficiencies
Rethinking



4/5
Test 2




4/6





4/7
PSIS and WAIC
Rethinking 7
Entropy




4/8





4/9
Comparing Models
Rethinking 7
Comparing Models




4/12
Logistic Regression and GLMs
Rethinking 11.1
Logistic Regression




4/13





4/14



Advising Day

4/15





4/16
Logistic Regression
Rethinking 11.1
Logistic Regression
More Logistic Regression




4/19
Hierarchical Models
Partial Pooling

Rethinking 13.2
More Logistic Regression
Tadpoles




4/20





4/21
Multilevel Models and Stan
Rethiking 13.3-4
Tadpoles
Chimpanzees




4/22





4/23
Reparameterization
link() and sim() revisited

Rethinking 13.4
Chimpanzees




4/26
Measurement Error
Rubin’s 8 Schools

Rethinking 15.1
8 Schools




4/27





4/28
Another multilevel example
brms

Radon
brm()


4/29





4/30
Preflight Checklist
Preflight Checklist



5/3
Test 3




5/4





5/5



Last Day of Class

5/6





5/7



Study Day

5/10





5/11
Final Exam @ 9am