4 citations · 13 across the 10 of their papers we have counts for
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stat.AP2021
Measurement That Matches Theory: Theory-Driven Identification in IRT Models
Marco Morucci, Margaret Foster, Kaitlyn Webster +2
Measurement bridges theory and empirics. Without measures that appropriately capture theoretical concepts, description will fail to represent reality and true causal inference will…
cs.LG2021★ 3 cited
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference
Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang +9
dame-flame is a Python package for performing matching for observational causal inference on datasets containing discrete covariates. This package implements the Dynamic Almost Mat…