dope1
Here’s where you can come to find out what’s up each day.
Welcome to Math 341!
Topic of the Day: Overview of Bayesian Inference
Topic of the Day: Probability and Bayes
Topics of the Day
Topics of the Day
More Grid Approximation
Writing functions in R
Document we coded live in class: [HTML]
Topics of the Day: Posterior Sampling and Quadratic Approximation
PS due today and next Wednesday
Test 1 on Wednesday, March 3 or Monday, March 8
Topics of the Day
quap()
Topic of the day: Regression with B-splines
Topic of the day: Putting it altogether – a model start to finish
Test Next Monday
Topic of the day: Multiple Predictors (spurious association)
Office Hours today after class
Topic of the day: Multiple Predictors (categorical variables and masking)
Topic of the Day: Some odds and ends
Groups
Topic of the Day: King Markov and his advisor Metropolis
Dordt has challenged Calvin to an NCAA modeling competition. See email for details.
Here is an excel spreadsheet with some data you can use.
Note: this year teams played a variable number of games due to COVID, so this year’s data will look a bit different compared the previous years.
Topic of the Day: King Markov and his advisor Metropolis
Topic of the Day: MCMC for posterior sampling
Topic of the Day: MCMC for posterior sampling
Upcoming tests
Note from last time (DAGs and confounding): You should know how to analyze a DAG “by hand” as well as how to use functions in dagitty
(impliedConditionalIndependencies()
, adjustmentSets()
, paths()
, etc.)
Topic of the Day: Interaction
Topic of the Day: Estimating predictive accuracy with PSIS and WAIC
Meet in SB 010
Topic of the Day: Comparing Models
Final Countdown: Including today, we have 10 class periods left.
From here to the end, we will be expanding our modeling repertoire, primarily in two ways:
As we do that, we will be practicing and refining all of our previous skills (creating priors, interpreting models, comparing models, diagnosing HMC, etc.)
Topic of the day: Dichotomous responses and the GLM framework (Logistic Regression)
Meet in SB 010
Test 2 has been graded.
Topic of the Day: More Logistic Regression
Office Hours tonight @ 8pm
Rest of the semester (8 days, including today and Test 3)
Topic of the Day: Hierarchical Models (a.k.a. partial pooling)
Topic of the Day: Multi-level Models & Stan issues
Topics of the Day
link()
and sim()
and more\(T = -5\)
Office Hours @ 8pm tonight
Topics of the day:
Review day – let me know if you have things we should review
Last day of class; Final exam next Tuesday @ 9am
Definitions selected from Webster’s online dictionary↩︎