6 papers
Regression Modeling of the Count Relational Data with Exchangeable Dependencies
Wenqin Du, Bailey K. Fosdick, Wen Zhou
Relational data characterized by directed edges with count measurements are common in social science. Most existing methods either assume the count edges are derived from continuou…
A Structured Estimator for large Covariance Matrices in the Presence of Pairwise and Spatial Covariates
Martin Metodiev, Marie Perrot-Dockès, Sarah Ouadah +4
We consider the problem of estimating a high-dimensional covariance matrix from a small number of observations when covariates on pairs of variables are available and the variables…
Mistaken identities lead to missed opportunities: Testing for mean differences in partially matched data
Raymond Pomponio, Bailey K. Fosdick, Julia Wrobel +1
It is increasingly common to collect pre-post data with pseudonyms or self-constructed identifiers. On survey responses from sensitive populations, identifiers may be made optional…
Restricted Regression in Networks
Ian Taylor, Kayleigh P. Keller, Bailey K. Fosdick
Network regression with additive node-level random effects can be problematic when the primary interest is estimating unconditional regression coefficients and some covariates are…
A hierarchical Bayesian model for estimating age-specific COVID-19 infection fatality rates in developing countries
Sierra Pugh, Andrew T. Levin, Gideon Meyerowitz-Katz +6
The COVID-19 infection fatality rate (IFR) is the proportion of individuals infected with SARS-CoV-2 who subsequently die. As COVID-19 disproportionately affects older individuals,…
Fréchet Covariance and MANOVA Tests for Random Objects in Multiple Metric Spaces
Alex Fout, Bailey K. Fosdick
In this manuscript we consider random objects being measured in multiple metric spaces, which may arise when those objects may be measured in multiple distinct ways. In this new mu…