64 citations · 94 across the 10 of their papers we have counts for
11 papers
Accelerated structured matrix factorization
Lorenzo Schiavon, Bernardo Nipoti, Antonio Canale
Matrix factorization exploits the idea that, in complex high-dimensional data, the actual signal typically lies in lower-dimensional structures. These lower dimensional objects pro…
Inner spike and slab Bayesian nonparametric models
Antonio Canale, Antonio Lijoi, Bernardo Nipoti +1
Discrete Bayesian nonparametric models whose expectation is a convex linear combination of a point mass at some point of the support and a diffuse probability distribution allow to…
Optimal stratification of survival data via Bayesian nonparametric mixtures
Riccardo Corradin, Luis Enrique Nieto-Barajas, Bernardo Nipoti
The stratified proportional hazards model represents a simple solution to account for heterogeneity within the data while keeping the multiplicative effect on the hazard function.…
On the Hurwitz zeta function with an application to the beta-exponential distribution
Julyan Arbel, Olivier Marchal, Bernardo Nipoti
We prove a monotonicity property of the Hurwitz zeta function which, in turn, translates into a chain of inequalities for polygamma functions of different orders. We provide a prob…
Importance conditional sampling for Pitman-Yor mixtures
Antonio Canale, Riccardo Corradin, Bernardo Nipoti
Nonparametric mixture models based on the Pitman-Yor process represent a flexible tool for density estimation and clustering. Natural generalization of the popular class of Dirichl…
Dirichlet process mixtures under affine transformations of the data
Julyan Arbel, Riccardo Corradin, Bernardo Nipoti
Location-scale Dirichlet process mixtures of Gaussians (DPM-G) have proved extremely useful in dealing with density estimation and clustering problems in a wide range of domains. M…
Bayesian Survival Model based on Moment Characterization
Julyan Arbel, Antonio Lijoi, Bernardo Nipoti
Bayesian nonparametric marginal methods are very popular since they lead to fairly easy implementation due to the formal marginalization of the infinite-dimensional parameter of th…
Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics
Julyan Arbel, Stefano Favaro, Bernardo Nipoti +1
Given a sample of size from a population of individuals belonging to different species with unknown proportions, a popular problem of practical interest consists in making infe…
Bayesian inference with dependent normalized completely random measures
Antonio Lijoi, Bernardo Nipoti, Igor Prünster
The proposal and study of dependent prior processes has been a major research focus in the recent Bayesian nonparametric literature. In this paper, we introduce a flexible class of…
Full Bayesian inference with hazard mixture models
Julyan Arbel, Antonio Lijoi, Bernardo Nipoti
Bayesian nonparametric inferential procedures based on Markov chain Monte Carlo marginal methods typically yield point estimates in the form of posterior expectations. Though very…
Rediscovery of Good-Turing estimators via Bayesian nonparametrics
Stefano Favaro, Bernardo Nipoti, Yee Whye Teh
The problem of estimating discovery probabilities originated in the context of statistical ecology, and in recent years it has become popular due to its frequent appearance in chal…