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05/16/2023
A latent process model for monitoring progress towards hard-to-measure targets, with applications to mental health and online educational assessments
The recent shift to remote learning and work has aggravated long-standin...
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04/06/2023
A Socio-Demographic Latent Space Approach to Spatial Data When Geography is Important but Not All-Important
Many models for spatial and spatio-temporal data assume that "near thing...
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03/02/2023
A Continuous-Time Stochastic Process for High-Resolution Network Data in Sports
Technological advances have paved the way for collecting high-resolution...
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07/01/2021
A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015
We consider incomplete observations of stochastic processes governing th...
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12/13/2020
Pseudo-likelihood-based M-estimation of random graphs with dependent edges and parameter vectors of increasing dimension
An important question in statistical network analysis is how to estimate...
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07/17/2020
A network approach to item response data: Development and applications of latent space item response models
We propose a novel network approach to item response data with advantage...
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10/18/2018