3 citations · 4 across the 12 of their papers we have counts for
4 papers · 1 filter
Scalable Variable Selection and Model Averaging for Latent Regression Models Using Approximate Variational Bayes
Gregor Zens, Mark F. J. Steel
We propose a fast and theoretically grounded method for Bayesian variable selection and model averaging in latent variable regression models. Our framework addresses three interrel…
Dynamic Count Models with Flexible Innovation Processes for Irregular Maritime Migration
Gregor Zens, Jakub Bijak
Motivated by the challenge of analyzing the dynamics of weekly sea border crossings in the Mediterranean (2015-2025) and the English Channel (2018-2025), we develop a Bayesian dyna…
Low-rank bilinear autoregressive models for three-way criminal activity tensors
Gregor Zens, Carlos Díaz, Daniele Durante +1
Criminal activity data are typically available via a three-way tensor encoding the reported frequencies of different crime categories across time and space. The challenges that ari…
Bayesian Adaptive Tensor Smoothing for Multiway Demographic Counts
Gregor Zens
Demographic data are often collected across multiple dimensions such as time, age, subnational region, and sex. Modeling such data is challenging due to the interplay of high dimen…