10 citations · 12 across the 4 of their papers we have counts for
6 papers
Asymptotic comparison of identifying constraints for Bradley-Terry models
Weichen Wu, Brian W. Junker, Nynke M. D. Niezink
The Bradley-Terry model is widely used for pairwise comparison data analysis. In this paper, we analyze the asymptotic behavior of the maximum likelihood estimator of the Bradley-T…
Faster MCMC for Gaussian Latent Position Network Models
Neil A. Spencer, Brian Junker, Tracy M. Sweet
Latent position network models are a versatile tool in network science; applications include clustering entities, controlling for causal confounders, and defining priors over unobs…
Psychometric Analysis of Forensic Examiner Behavior
Amanda Luby, Anjali Mazumder, Brian Junker
Forensic science often involves the comparison of crime-scene evidence to a known-source sample to determine if the evidence and the reference sample came from the same source. Eve…
CID Models on Real-world Social Networks and Goodness of Fit Measurements
Jun Hee Kim, Eun Kyung Kwon, Qian Sha +2
Assessing the model fit quality of statistical models for network data is an ongoing and under-examined topic in statistical network analysis. Traditional metrics for evaluating mo…
Comparison of Cross-Validation Methods for Stochastic Block Models
Beau Dabbs, Brian Junker
We introduce a novel cross-validation method that we call latinCV and we compare this method to other model selection methods using data generated from a stochastic block model. Co…
High-Dimensional Longitudinal Classification with the Multinomial Fused Lasso
Samrachana Adhikari, Fabrizio Lecci, James T. Becker +4
We study regularized estimation in high-dimensional longitudinal classification problems, using the lasso and fused lasso regularizers. The constructed coefficient estimates are pi…