causality-analysis

An index of algorithms for learning causality with data

Eliot: the logging system that tells you *why* it happened

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

💊 Comparing causality methods in a fair and just way.

A resource list for causality in statistics, data science and physics

Causing: CAUsal INterpretation using Graphs

Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://arxiv.org/abs/1702.07007 is available at https://github.com/jakobrunge/tigramite!

金融文本中的原因事件

A project for exploring differentially active signaling paths related to proteomics datasets

Causal Relation Extraction and Identification using Conditional Random Fields

Identifying reasons for human actions in lifestyle vlogs.

Causal Inference Using Quasi-Experimental Methods

Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.

Mendelian Randomization with Biomarker Associations for Causality with Outcomes

Python package for Granger causality test with nonlinear forecasting methods.

Code accompanying my 2021 ASA SDSS paper

A Powerful Python Library for Causal Inference

This is for Econometrics and other Economics related materials

Predicting whether Insurance claims will accepted or rejected for online Travel Agencies

MATLAB module for assessing the causal links between time series

Less than 4% of women believe they are beautiful, according to a 2011 Dove study. Beauty standards are set by unrealistic portrayals of women in the media. We are designing an experiment to determine if changing the models shown in an advertisement will cause a change in how beauty is perceived.

In this project, the causal effect of working overtime on attrition for a sample of IBM employees has been analyzed

Solar algorithm modified into an effective, accruate and sparse linear probablistic graph learning algorithm

R Code and reporting output for randomized causal inference study to answer question on whether there is bias in following directions from gendered voices.

Causal Analysis Experiment of Academic Paper's Title length on Number of Citation

Survey design, causality study and statistical analysis

Notes about Statistical Rethinking | Richard McElreath

Causal inference between minimum wage and employment using difference in differences