162 citations · 163 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process
Pierpaolo De Blasi, Ramsés H. Mena, Igor Prünster
Discrete random probability measures are a key ingredient of Bayesian nonparametric inferential procedures. A sample generates ties with positive probability and a fundamental obje…
Latent nested nonparametric priors
Federico Camerlenghi, David B. Dunson, Antonio Lijoi +2
Discrete random structures are important tools in Bayesian nonparametrics and the resulting models have proven effective in density estimation, clustering, topic modeling and predi…
Are Gibbs-type priors the most natural generalization of the Dirichlet process?
P. De Blasi, S. Favaro, A. Lijoi +3
Discrete random probability measures and the exchangeable random partitions they induce are key tools for addressing a variety of estimation and prediction problems in Bayesian inf…