FJRubio67 / StatisticalInferenceLinks
Lecture Notes on Statistical Inference
☆77Updated last year
Alternatives and similar repositories for StatisticalInference
Users that are interested in StatisticalInference are comparing it to the libraries listed below
Sorting:
- Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…☆73Updated 2 years ago
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆77Updated last year
- Unstructured Code with interesting analysis☆36Updated last year
- ☆33Updated last year
- Repository containing the code of the projects presented in my personal website.☆45Updated last week
- Notebooks for Applied Causal Inference Powered by ML and AI☆141Updated 9 months ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆108Updated this week
- ☆16Updated 9 months ago
- Methods and tools for multistep-ahead time series conformal prediction.☆44Updated last week
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆158Updated 2 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆25Updated last year
- ☆108Updated last year
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆26Updated 3 years ago
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆64Updated last week
- Bayesian Learning course at Stockholm University☆157Updated last month
- One day course on causal inference, MPI-EVA 9 September 2021☆249Updated 3 years ago
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 4 years ago
- Supplemental R Examples on Applied Conformal Prediction. These examples follow Practical Guide to Applied Conformal Prediction in Python,…☆44Updated last year
- Machine Learning and Causal Inference taught by Brigham Frandsen☆218Updated 2 months ago
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆84Updated 2 years ago
- Educational resources☆105Updated 4 years ago
- Tools for causal discovery in R☆20Updated 9 months ago
- Statistical Inference Course☆43Updated last year
- A resource list for causality in statistics, data science and physics☆267Updated last month
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆32Updated 3 years ago
- Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.☆81Updated last week
- This repository contains slides from some of the classes I have taught in my career. The repository will be updated from time to time. I…☆33Updated 10 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated last year
- Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.☆141Updated 10 months ago