causality-analysis

An index of algorithms for learning causality with data

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

💊 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

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

Mendelian Randomization with Biomarker Associations for Causality with Outcomes

Causal Inference Using Quasi-Experimental Methods

Python package for Granger causality test with nonlinear forecasting methods.

Code accompanying my 2021 ASA SDSS paper

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

Published Papers and the source code such as R / 発表論文集及びそのR等のソースコード

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

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.

Survey design, causality study and statistical analysis

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

Conducting one-factor analysis of variance and its assumptions (normality and homogeneity of variance) with R if two groups of data show statistically different behavior. Visualizing data with boxplots to understand if the given state of the fly (fed/starved) affects the feeding and resting pattern.

Granger causality of the inflation–growth mirror in accession countries, (ET, 2004)

Causal analysis and inference using observational and interventional dataset. It contains tools for graph structure recovery.

Analyzing various Causal ML libraries through the paradoxical lens

Causal inference between minimum wage and employment using difference in differences

Code for Stochastic Average Causal Attribution and the experiments on simulated and real datasets. Worked while I was at AmazonML.

Outlier Causal Relationship Detecotor