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Multivariate mixture modeling using skew-normal independent distributions
(Elsevier Science BvAmsterdamHolanda, 2012)
A Gompertz mixture approach for modeling the evolution of the COVID-19 dynamics
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2023)
Predicting vapor-liquid equilibria of fatty systems
(Elsevier Science BvAmsterdamHolanda, 2004)
Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: Estimation and case influence diagnostics
(ELSEVIER SCIENCE BV, 2011)
The purpose of this paper is to develop a Bayesian analysis for nonlinear regression models under scale mixtures of skew-normal distributions. This novel class of models provides a useful generalization of the symmetrical ...
Multivariate measurement error models based on scale mixtures of the skew-normal distribution
(TAYLOR & FRANCIS LTD, 2010)
Scale mixtures of the skew-normal (SMSN) distribution is a class of asymmetric thick-tailed distributions that includes the skew-normal (SN) distribution as a special case. The main advantage of these classes of distributions ...
Bayesian modeling of autoregressive partial linear models with scale mixture of normal errors
(Taylor & Francis LtdAbingdonInglaterra, 2013)
Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach
(Elsevier Science BvAmsterdamHolanda, 2014)
A predictive view of Bayesian clustering
(ELSEVIER, 2006)
This work considers probability models for partitions of a set of n elements using a predictive approach, i.e., models that are specified in terms of the conditional probability of either joining an already existing cluster ...
Stochastic volatility in mean models with heavy-tailed distributions
(Brazilian Statistical AssociationSao PauloBrasil, 2012)
On diagnostics in multivariate measurement error models under asymmetric heavy-tailed distributions
(SpringerNew YorkEUA, 2012)