ryantibs / statlearn-s24Links
Course materials for Advanced Topics in Statistical Learning, Spring 2024
☆23Updated last month
Alternatives and similar repositories for statlearn-s24
Users that are interested in statlearn-s24 are comparing it to the libraries listed below
Sorting:
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆47Updated last month
- Tools for conformal inference in regression☆248Updated last year
- ☆189Updated 2 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
- My notes from class☆71Updated 7 years ago
- A python package for causal inference in panels☆13Updated 2 months ago
- Computational Statistics and Statistical Computing☆37Updated 4 years ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆129Updated 5 months ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆23Updated 6 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 8 months ago
- Python package to compute conditional and non-conditional causal effects.☆35Updated 3 years ago
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Bayesian Causal Forests☆48Updated last year
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 6 months ago
- Non-parametrics for Causal Inference☆49Updated 3 years ago
- Confidence sequences and uniform boundaries☆66Updated 10 months ago
- Efficient, lightweight variational inference and approximation bounds☆44Updated last year
- Code for the causal benchmark library☆12Updated 5 months ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- Conditional calibration of conformal p-values for outlier detection.☆36Updated 2 years ago
- Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…☆41Updated 2 months ago
- Unbiased Markov chain Monte Carlo with couplings☆30Updated 3 years ago
- Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.☆30Updated 2 weeks ago
- Distributional Random Forests (Cevid et al., 2020)☆44Updated 2 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆171Updated last year
- CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.☆16Updated last year
- ☆78Updated 5 years ago