We develop a new class of spatial voting models for binary preference da...
Latent factor models are widely used in the social and behavioral scienc...
Power-expected-posterior (PEP) methodology, which borrows ideas from the...
Item response theory (IRT) models are widely used to obtain interpretabl...
This article proposes a novel Bayesian classification framework for netw...
In database management, record linkage aims to identify multiple records...
Factor models are widely used across diverse areas of application for
pu...
In this paper we study the impact of combining profile and network data ...
In this paper we introduce a novel Bayesian approach for linking multipl...
This article proposes a Bayesian approach to regression with a continuou...
Discrete random structures are important tools in Bayesian nonparametric...
This paper introduces a novel approach for modeling a set of directed, b...
Over the last few years there has been a growing interest in using finan...
We develop a sparse autologistic model for investigating the impact of
d...
We propose a multinomial logistic regression model for link prediction i...