A. Jordan Nafa's starred repositories
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
Bayesian_Statistical_Modeling_with_Stan_R_and_Python
Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
da-coding-rstats
Coding course to complete Data Analysis in R
stan-survival-model-workshop
Building a Survival Model in Stan.
bayesforecast
Automatic forecasting and Bayesian modeling for time series with Stan
bayesf22.classes.andrewheiss.com
📊 🌐 🧑🏫 Website for PhD-level independent readings course on Bayesian statistics with R and Stan, built with Quarto
designcourse
Course materials for "Research Design in Political Science"
ordbetareg_pack
Repository for R package ordbetareg, used to fit continuous data with lower and upper bounds.
thoughtsNprayers
Doesn't actually do anything
gov50-f22-site
Website for Harvard University's Gov 50 (Fall 2022)
weird-posteriors
Posterior with interesting shapes from actually used models
gov51-site
Repo for the Gov 51 course site
steveproj-targets-example
An example of integrating {steveproj} (and {stevetemplates}) with {targets} for a reproducible workflow
pols1600.github.io
Course repository for POLS 1600 - Political Research Methods (Brown University)
rsemicompstan
R package implementing parametric semicompeting risks in Stan
causally-sound
Replication code for Irons and Cinelli (2023), "Causally sound priors for binary experiments."
research-methods
Repository with teaching material for the tutorials of the module Research Methods for Political Science (PO3600)