[GitHub - jakobrunge/tigramite: Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at](https://github.com/jakobrunge/tigramite) 時系列データに着目した[[因果推論]] [[因果探索]]のためのPythonパッケージ。 - PCMCI [[2019__Science Advances__Detecting and quantifying causal associations in large nonlinear time series datasets]] - PCMCI+ [[2020__UAI__Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets]] - LPCMCI [[2020__NeurIPS__High-recall causal discovery for autocorrelated time series with latent confounders]] ## Examples - [tigramite/tigramite_tutorial_basics.ipynb at master · jakobrunge/tigramite · GitHub](https://github.com/jakobrunge/tigramite/blob/master/tutorials/tigramite_tutorial_basics.ipynb) - [tigramite_hello.ipynb - Colaboratory](https://colab.research.google.com/github/microprediction/timeseries-notebooks/blob/main/tigramite_hello.ipynb#scrollTo=3XW4J1XyMFtP)