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A formulation for continuous mixtures of multivariate normal distributions
(ELSEVIER INC, 2021)
Several formulations have long existed in the literature in the form of continuous mixtures of normal variables where a mixing variable operates on the mean or on the variance or on both the mean and the variance of a ...
On the small sample behavior of Dirichlet process mixture models for data supported on compact intervals
(2019)
Bayesian nonparametric models provide a general framework for flexible statistical modeling of modern complex data sets. We compare a rate-optimal and rate-suboptimal Bayesian nonparametric model for density estimation for ...
An Extension to the Scale Mixture of Normals for Bayesian Small-Area Estimation
(UNIV NAC COLOMBIA, DEPT ESTADISTICA, 2012)
This work considers distributions obtained as scale mixture of normal densities for correlated random variables, in the context of the Markov random field theory, which is applied in Bayesian spatial intrinsically ...
A semiparametric Bayesian model for repeatedly repeated binary outcomes
(WILEY-BLACKWELL, 2008)
We discuss the analysis of data from single-nucleotide polymorphism arrays comparing tumour and normal tissues. The data consist of sequences of indicators for loss of heterozygosity (LOH) and involve three nested levels ...
Random partition models with regression on covariates
(ELSEVIER SCIENCE BV, 2010)
Many recent applications of nonparametric Bayesian inference use random partition models, i.e. probability models for clustering a set of experimental units. We review the popular basic constructions. We then focus on an ...
On Repulsive Mixtures and Applications
(2016)
A common feature of many random partition models, including those induced from
mixtures of discrete random probability measures, is the use of iid parameters to de ne clusters. As
a result, it is typically found that some ...
Robust Mixture Regression Modeling Based On Scale Mixtures Of Skew-normal Distributions
(Springer New York LLC, 2016)
Bayesian analysis of skew-normal independent linear mixed models with heterogeneity in the random-effects population
(Elsevier Science BvAmsterdamHolanda, 2012)