7 papers
Phylogenetic latent space models for network data
Federico Pavone, Daniele Durante, Robin J. Ryder
Latent space models for network data characterize each node through a vector of latent features whose pairwise similarities define the edge probabilities among the pairs of nodes.…
Low-rank bilinear autoregressive models for three-way criminal activity tensors
Gregor Zens, Carlos DÃaz, 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…
Skew-symmetric approximations of posterior distributions
Francesco Pozza, Daniele Durante, Botond Szabo
Popular deterministic approximations of posterior distributions from, e.g. the Laplace method, variational Bayes and expectation-propagation, generally rely on symmetric approximat…
Optimal and computationally tractable lower bounds for logistic log-likelihoods
Niccolò Anceschi, Cristian Castiglione, Tommaso Rigon +2
The logit transform is arguably the most widely-employed link function beyond linear settings. This transformation routinely appears in regression models for binary data and provid…
Dependent stochastic block models for age-indexed sequences of directed causes-of-death networks
Giovanni Romanò, Cristian Castiglione, Daniele Durante
Death events commonly arise from complex interactions among interrelated causes, formally classified in reporting practices as underlying and contributing. Leveraging information f…
Bayesian local clustering of age-period mortality surfaces across multiple countries
Giovanni Romanò, Emanuele Aliverti, Daniele Durante
Although traditional literature on mortality modeling has focused on single countries in isolation, recent contributions have progressively moved toward joint models for multiple c…