2 citations · 3 across the 4 of their papers we have counts for
4 papers
Zero Inflation as a Missing Data Problem: a Proxy-based Approach
Trung Phung, Jaron J. R. Lee, Opeyemi Oladapo-Shittu +8
A common type of zero-inflated data has certain true values incorrectly replaced by zeros due to data recording conventions (rare outcomes assumed to be absent) or details of data…
A General Identification Algorithm For Data Fusion Problems Under Systematic Selection
Jaron J. R. Lee, AmirEmad Ghassami, Ilya Shpitser
Causal inference is made challenging by confounding, selection bias, and other complications. A common approach to addressing these difficulties is the inclusion of auxiliary data…
An Introduction to Causal Inference Methods for Observational Human-Robot Interaction Research
Jaron J. R. Lee, Gopika Ajaykumar, Ilya Shpitser +1
Quantitative methods in Human-Robot Interaction (HRI) research have primarily relied upon randomized, controlled experiments in laboratory settings. However, such experiments are n…
Ananke: A Python Package For Causal Inference Using Graphical Models
Jaron J. R. Lee, Rohit Bhattacharya, Razieh Nabi +1
We implement Ananke: an object-oriented Python package for causal inference with graphical models. At the top of our inheritance structure is an easily extensible Graph class that…