FMZennaro / CausalInferenceLinks
Illustration of counterfactual inference following Ferenc Huszar example
☆13Updated 5 months ago
Alternatives and similar repositories for CausalInference
Users that are interested in CausalInference are comparing it to the libraries listed below
Sorting:
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆45Updated 5 years ago
- Some notes on Causal Inference, with examples in python☆156Updated 5 years ago
- Basic time series modeling with Stan and Pystan☆33Updated 8 years ago
- State Space Estimation of Time Series Models in Python: Statsmodels☆44Updated 9 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- ☆27Updated 7 years ago
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- ☆39Updated 7 years ago
- Repo for PyData 2018 tuorial☆12Updated 7 years ago
- R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the …☆11Updated 6 years ago
- ☆94Updated 8 years ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 6 years ago
- Tutorial materials for PyData 2015 Seattle.☆34Updated 10 years ago
- ☆90Updated 5 years ago
- Time Series Forecasting and Imputation☆48Updated 4 years ago
- Some notes on techniques for variance reduction to increase the power of A/B tests☆14Updated 6 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆55Updated 8 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 8 years ago
- A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.☆57Updated last year
- ☆24Updated 5 years ago
- This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https…☆35Updated last year
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Updated 4 years ago
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆64Updated 10 years ago
- Causal Graphical Models in Python☆249Updated 2 years ago
- In which I play with the ideas surrounding causality☆54Updated 3 years ago
- Introductory overview of Bayesian inference☆43Updated 6 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆10Updated 2 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 9 months ago
- Hierarchical Change-Point Detection☆14Updated 7 years ago