ryantibs / statlearn-s23
Course materials for Advanced Topics in Statistical Learning, Spring 2023
☆46Updated last week
Alternatives and similar repositories for statlearn-s23
Users that are interested in statlearn-s23 are comparing it to the libraries listed below
Sorting:
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 2 months ago
- My notes from class☆66Updated 7 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Paper Repository☆11Updated 2 years ago
- The code in this repository follows the paper "Stochastic gradient MCMC"☆26Updated 5 years ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Bayesian Causal Forests☆44Updated last year
- Repository for Introduction to Bayesian Estimation of Causal Effects☆61Updated 4 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- ☆17Updated 11 months ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago
- Machine Learning for Economics☆18Updated 2 years ago
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 2 years ago
- R package cfcausal☆27Updated 2 years ago
- Efficient, lightweight variational inference and approximation bounds☆43Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆170Updated 11 months ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆22Updated 5 years ago
- ☆24Updated 6 months ago
- Code for the causal benchmark library☆12Updated 2 months ago
- Conformal Bayes with importance sampling☆21Updated 3 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2024☆19Updated last week
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- Convolution Smoothed Quantile Regression☆17Updated 7 months ago
- ☆78Updated 4 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 3 months ago
- CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.☆16Updated 11 months ago
- A simple library to run variational inference on Stan models.☆30Updated 2 years ago
- Tools for conformal inference in regression☆239Updated 8 months ago
- ☆184Updated 2 years ago