8 citations · 14 across the 8 of their papers we have counts for
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Toward improved inference for Krippendorff's Alpha agreement coefficient
John Hughes
In this article I recommend a better point estimator for Krippendorff's Alpha agreement coefficient, and develop a jackknife variance estimator that leads to much better interval e…
Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems
Bokgyeong Kang, John Hughes, Murali Haran
Models with intractable normalizing functions have numerous applications. Because the normalizing constants are functions of the parameters of interest, standard Markov chain Monte…
krippendorffsalpha: An R Package for Measuring Agreement Using Krippendorff's Alpha Coefficient
John Hughes
R package krippendorffsalpha provides tools for measuring agreement using Krippendorff's Alpha coefficient, a well-known nonparametric measure of agreement (also called inter-rater…
On the Occasional Exactness of the Distributional Transform Approximation for Direct Gaussian Copula Models with Discrete Margins
John Hughes
The direct Gaussian copula model with discrete marginal distributions is an appealing data-analytic tool but poses difficult computational challenges due to its intractable likelih…
Sklar's Omega: A Gaussian Copula-Based Framework for Assessing Agreement
John Hughes
The statistical measurement of agreement is important in a number of fields, e.g., content analysis, education, computational linguistics, biomedical imaging. We propose Sklar's Om…
Spatial Regression and the Bayesian Filter
John Hughes
Regression for spatially dependent outcomes poses many challenges, for inference and for computation. Non-spatial models and traditional spatial mixed-effects models each have thei…