Stat 341
Computational Bayesian Statistics
Spring 2019

[calendar] [test info] [resources] [Redoing BDA] [from class] [homework]
Mon Tue Wed Thu Fri
1/28



Snow Day
No Class


1/29



Not a Snow Day
No Class


1/30



Snow Day
No Class


1/31



Snow Day
No Class


2/1
Introduction to Bayesian Inference
DBDA 2



2/4
Conditional Probability
DBDA 4
ggformula


2/5





2/6
Bayes’ Rule
DBDA 5
ifelse(), dnorm(), pnorm(), qnorm(), rnorm()


2/7





2/8
The Grid Method
DBDA 5
expand.grid(), mutate(), purrr::map_dbl()


2/11
The Grid Method
DBDA 5



2/12





2/13
Bayes and Beta
Conjugate Priors

DBDA 6
beta_params()


2/14





2/15
Metropolis Algorithm
DBDA 7



2/18
Metropolis Algorithm
DBDA 7



2/19





2/20
Metropolis Algorithm
DBDA 7



2/21





2/22
Gibbs Samping
DBDA 8



2/25
JAGS
DBDA 8
jags(), posterior(), as.mcmc(), mcmc_areas(), diag_mcmc(), plot_post()


2/26





2/27
Gamma Distributions
Hiearchical Models

DBDA 9
gamma_params(), mcmc_pairs()


2/28





3/1
Hiearchical Models
DBDA 9



3/4
Test 1




3/5





3/6
Multivariate models




3/7





3/8
Modeling Two Means
DBDA 16



3/11
Modeling Two Means
T distributions

DBDA 16



3/12





3/13
Paired Study Designs
DBDA 16
spread(), gather()


3/14





3/15
NCAA Modeling




3/18



Spring Break

3/19



Spring Break

3/20



Spring Break

3/21



Spring Break

3/22



Spring Break

3/25
Simple Linear Regression
DBDA 17



3/26





3/27
Stan
DBDA 14
sampling()


3/28





3/29
metric ~ metric + dichotymous




4/1
metric ~ metric + metric




4/2





4/3
Review




4/4





4/5
Test 2




4/8





4/9



Advising
No Class


4/10



Advising
No Class


4/11





4/12





4/15





4/16





4/17





4/18





4/19



Good Friday
No Class


4/22



Easter Monday
No Class


4/23





4/24





4/25





4/26





4/29





4/30





5/1
Test 3?




5/2





5/3





5/6





5/7





5/8





5/9



Friday Class Schedule

5/10



Reading Recess

5/13





5/14
Final Exam @ 9 am