5 citations · 5 across the 2 of their papers we have counts for
7 papers
Media Bias and Polarization through the Lens of a Markov Switching Latent Space Network Model
Roberto Casarin, Antonio Peruzzi, Mark F. J. Steel
News outlets are now more than ever incentivized to provide their audience with slanted news, while the intrinsic homophilic nature of online social media may exacerbate polarized…
Probabilistic sequential matrix factorization
Ömer Deniz Akyildiz, Gerrit J. J. van den Burg, Theodoros Damoulas +1
We introduce the probabilistic sequential matrix factorization (PSMF) method for factorizing time-varying and non-stationary datasets consisting of high-dimensional time-series. In…
Model Averaging and its Use in Economics
Mark F. J. Steel
The method of model averaging has become an important tool to deal with model uncertainty, for example in situations where a large amount of different theories exist, as are common…
In Search of Lost (Mixing) Time: Adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p
Jim Griffin, Krys Latuszynski, Mark Steel
The availability of data sets with large numbers of variables is rapidly increasing. The effective application of Bayesian variable selection methods for regression with these data…
Methods and Tools for Bayesian Variable Selection and Model Averaging in Univariate Linear Regression
Anabel Forte, Gonzalo Garcia-Donato, Mark Steel
In this paper we briefly review the main methodological aspects concerned with the application of the Bayesian approach to model choice and model averaging in the context of variab…
Flexible linear mixed models with improper priors for longitudinal and survival data
F. J. Rubio, M. F. J. Steel
We propose a Bayesian approach using improper priors for hierarchical linear mixed models with flexible random effects and residual error distributions. The error distribution is m…