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Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach
(Elsevier Science BvAmsterdamHolanda, 2014)
Nonlinear Regression Models Under Skew Scale Mixtures Of Normal Distributions
(Elsevier Science BVAmsterdam, 2016)
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 ...
Bayesian modeling of autoregressive partial linear models with scale mixture of normal errors
(Taylor & Francis LtdAbingdonInglaterra, 2013)
Is statistical lack of fit a reliable criterion for chemical complexity?
(Chemometrics and Intelligent Laboratory Systems, 2019)
Parallel implementation of Expectation-Maximisation algorithm for the training of Gaussian Mixture Models
(Science Publications, 2016)
Stochastic volatility in mean models with heavy-tailed distributions
(Brazilian Statistical AssociationSao PauloBrasil, 2012)
Stabilization of mixture of two rigid solids modeling temperature and porosity
(Applied Mathematics Letters, 2018)
Continuation ratio model for polytomous responses with censored like latent classes
(Springer, 2023)
Polytomous item responses are prevalent in background or context questionnaires of International large-scale assessments (ILSA). Responses to these types of instruments can vary in their symmetry or skewness. Zero inflation ...