61 citations · 67 across the 9 of their papers we have counts for
9 papers
Bayesian Nonparametric Vector Autoregressive Models via a Logit Stick-breaking Prior: an Application to Child Obesity
Mario Beraha, Alessandra Guglielmi, Fernando A. Quintana +3
Overweight and obesity in adults are known to be associated with risks of metabolic and cardiovascular diseases. Because obesity is an epidemic, increasingly affecting children, it…
Seemingly Unrelated Multi-State processes: a Bayesian semiparametric approach
Andrea Cremaschi, Raffele Argiento, Maria De Iorio +4
Many applications in medical statistics as well as in other fields can be described by transitions between multiple states (e.g. from health to disease) experienced by individuals…
Bayesian nonparametric temporal dynamic clustering via autoregressive Dirichlet priors
Maria De Iorio, Stefano Favaro, Alessandra Guglielmi +1
In this paper we consider the problem of dynamic clustering, where cluster memberships may change over time and clusters may split and merge over time, thus creating new clusters a…
Monte Carlo Co-Ordinate Ascent Variational Inference
Lifeng Ye, Alexandros Beskos, Maria De Iorio +1
In Variational Inference (VI), coordinate-ascent and gradient-based approaches are two major types of algorithms for approximating difficult-to-compute probability densities. In re…
Is infinity that far? A Bayesian nonparametric perspective of finite mixture models
Raffaele Argiento, Maria De Iorio
Mixture models are one of the most widely used statistical tools when dealing with data from heterogeneous populations. This paper considers the long-standing debate over finite mi…
Bayesian Inference for Duplication-Mutation with Complementarity Network Models
Ajay Jasra, Adam Persing, Alexandros Beskos +2
We observe an undirected graph without multiple edges and self-loops, which is to represent a protein-protein interaction (PPI) network. We assume that evolved under the du…