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pro vyhledávání: '"Cox, Gregory"'
Autor:
Cox, Gregory Fletcher
Inequalities may appear in many models. They can be as simple as assuming a parameter is nonnegative, possibly a regression coefficient or a treatment effect. This paper focuses on the case that there is only one inequality and proposes a confidence
Externí odkaz:
http://arxiv.org/abs/2409.09962
Publikováno v:
International Journal of Sport Nutrition & Exercise Metabolism; Nov2024, Vol. 34 Issue 6, p387-396, 10p
Autor:
Cox, Gregory
This paper describes how to reparameterize low-dimensional factor models with one or two factors to fit weak identification theory developed for generalized method of moments models. Some identification-robust tests, here called "plug-in" tests, requ
Externí odkaz:
http://arxiv.org/abs/2211.00329
Autor:
Cox, Gregory
The argmax theorem is a useful result for deriving the limiting distribution of estimators in many applications. The conclusion of the argmax theorem states that the argmax of a sequence of stochastic processes converges in distribution to the argmax
Externí odkaz:
http://arxiv.org/abs/2209.08793
Publikováno v:
In Cognitive Psychology March 2024 149
Autor:
Cox, Gregory
When parameters are weakly identified, bounds on the parameters may provide a valuable source of information. Existing weak identification estimation and inference results are unable to combine weak identification with bounds. Within a class of minim
Externí odkaz:
http://arxiv.org/abs/2012.11222
Autor:
Cox, Gregory, Shi, Xiaoxia
We propose a simple test for moment inequalities that has exact size in normal models with known variance and has uniformly asymptotically exact size more generally. The test compares the quasi-likelihood ratio statistic to a chi-squared critical val
Externí odkaz:
http://arxiv.org/abs/1907.06317
Autor:
Cox, Gregory Fletcher
This dissertation establishes tools for valid inference in models that are only generically identified with a special focus on factor models. Chapter one considers inference for models under a general form of identification failure, by studying micro
Externí odkaz:
http://pqdtopen.proquest.com/#viewpdf?dispub=10633240
Autor:
Cox, Gregory
Publikováno v:
The Military Engineer, 2022 Jan 01. 114(737), 60-61.
Externí odkaz:
https://www.jstor.org/stable/48646152
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