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Model-oriented Graph Distances via Partially Ordered Sets
Armeen Taeb, F. Richard Guo, Leonard Henckel
A well-defined distance on the parameter space is key to evaluating estimators, ensuring consistency, and building confidence sets. While there are typically standard distances to…
On the universal calibration of heavy-tailed combination tests
Parijat Chakraborty, F. Richard Guo, Kerby Shedden +1
It is often of interest to test a global null hypothesis using multiple, possibly dependent -values by combining their strengths while controlling the type-I error. Recently, se…
The Categorical Instrumental Variable Model: Characterization, Partial Identification, and Statistical Inference
Yilin Song, F. Richard Guo, K. C. Gary Chan +1
We study categorical instrumental variable (IV) models with instrument, treatment and outcome taking finitely many values. We derive a simple closed-form characterization of the se…