R companion to Angrist Pischke Mostly Harmless econometrics
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Updated
Oct 4, 2015 - R
R companion to Angrist Pischke Mostly Harmless econometrics
This IPython notebook was used to give the Penn Medicine Predictive Healthcare team exposure to the topic of causal inference and introduce them to some established methods.
Message Passing algorithm in Distributed System with vector clock.
Estimates the inference of a Fuzzy Cognitive Map (FCM). Provides a selection of 6 different inference rules and 4 threshold functions in order to obtain the inference of the FCM.
Causal analysis for the Kappa language.
Code to accompany and provide results for "Causal Queries from Observational Data in Biological Systems with Bayesian Networks: An Empirical Study in Small Networks"
Causal Inference & Deep Learning, MIT IAP 2018
A Tagged Reliable Causal Broadcast (TRCB) Middleware
Causal Discovery between Manufacturer-Retailer price channels
This is my project on causal inference
Events and Situations Ontology
Inference in instrumental variables models robust to many instruments
Second: Machine Learning Assignments (INFX 574), University of Washington
Determining Impact of Social Media Badges through Joint Clustering of Temporal Traces and User Features.
Causal Effect of Digital (First-time) Badges in Social Platforms
Introduction to Double Robust Estimation for Causal Inference
John Winn example on causality
Simulation of integrated information in biological systems.
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
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