jayelm / hoff-bayesian-statisticsLinks
R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
☆129Updated 6 years ago
Alternatives and similar repositories for hoff-bayesian-statistics
Users that are interested in hoff-bayesian-statistics are comparing it to the libraries listed below
Sorting:
- Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science☆78Updated this week
- A repo of short "vignettes" illustrating statistical concepts☆316Updated last year
- My notes from class☆74Updated 7 years ago
- A collection of visual guides to help applied scientists learn causal inference.☆284Updated 3 years ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆111Updated last year
- A repository for working through the Bayesian statistics book "Statistical Rethinking" by Richard McElreath.☆135Updated 5 years ago
- Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.☆140Updated 8 months ago
- Bayesian Learning course at Stockholm University☆156Updated last week
- Bayesian Data Analysis demos for R☆584Updated last month
- Slides and R codes for Functional Data Analysis Course☆96Updated 6 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆49Updated 3 months ago
- Python code for Computer Age Statistical Inference☆51Updated 6 years ago
- Tools for The Book of Statistical Proofs☆94Updated 9 months ago
- Regression and other stories R examples☆345Updated 5 months ago
- Computational Statistics and Statistical Computing☆37Updated 4 years ago
- One day course on causal inference, MPI-EVA 9 September 2021☆249Updated 3 years ago
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆90Updated 6 years ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆134Updated 7 months ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆173Updated last year
- Repo for January 2021 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The re…☆177Updated 2 years ago
- Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)☆177Updated 3 years ago
- Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.☆20Updated 9 years ago
- ☆47Updated 2 years ago
- Solutions for the practice problems☆146Updated 5 years ago
- This repository contains R code for exercices and plots in the famous book.☆46Updated 2 years ago
- Bayesian Causal Forests☆48Updated last year
- Drawing graphical models for causal inference using LaTeX☆118Updated 2 years ago
- Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.☆62Updated 7 years ago
- The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…☆181Updated 4 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆67Updated 5 years ago