resteorts / modern-bayes

Related projects: ⓘ

• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆36Updated 3 years ago
• zhangry868 / Bayesian-Statistics
  Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
  ☆20Updated 8 years ago
• kjytay / stanford-stats
  My notes from class
  ☆56Updated 6 years ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆39Updated 3 years ago
• collinprather / ISLR-Python
  Labs and Exercises from "An Introduction to Statistical Learning", implemented in Python.
  ☆29Updated 6 years ago
• jayelm / hoff-bayesian-statistics
  R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"
  ☆121Updated 4 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆58Updated 3 years ago
• mmarouen / The-Elements-Of-Statistical-Learning
  This repository contains R code for exercices and plots in the famous book.
  ☆47Updated 11 months ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆37Updated last year
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆106Updated 9 months ago
• monika76five / Undergrad-Bayesian-Course
  ☆62Updated 3 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆61Updated 5 years ago
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆27Updated 2 years ago
• VC2015 / DMLonGitHub
  ☆21Updated 6 years ago
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆73Updated last year
• xuanyin / causal-mediation-analysis-for-ab-tests
  The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
  ☆23Updated 2 years ago
• rghan / ISLR
  An Introduction to Statistical Learning with Applications in R
  ☆58Updated 9 years ago
• areding / 6420-pymc
  Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.
  ☆19Updated this week
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆144Updated 3 months ago
• talwarabhimanyu / my-solutions-The-Elements-of-Statistical-Learning
  My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.
  ☆92Updated 5 years ago
• IamGianluca / arm
  My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
  ☆77Updated 5 years ago
• ehkennedy / npcausal
  ☆90Updated 8 months ago
• ben18785 / distribution-zoo
  App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan
  ☆85Updated 8 months ago
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆22Updated 2 years ago
• cran / sandwich
   This is a read-only mirror of the CRAN R package repository. sandwich — Robust Covariance Matrix Estimators. Homepage: https://sandwich…
  ☆10Updated this week
• sejdemyr / ecls
  Processing data from the Early Childhood Longitudinal Study (ECLS)
  ☆30Updated 2 months ago
• AlxndrMlk / huber-causal-analysis
  Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
  ☆11Updated 2 months ago
• StatProofBook / StatProofBookTools
  Tools for The Book of Statistical Proofs
  ☆81Updated last month
• KDiazOrdaz / Machine-learning-in-policy-evaluation-new-tools-for-causal-inference
  This is the repository holding the code used to perform the analysis used in the manuscript "Machine learning in policy evaluation: new t…
  ☆10Updated 5 years ago