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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 ...
Bayesian outlier analysis in binary regression
(Routledge Journals, Taylor & Francis Ltd, 2010-01-01)
We propose alternative approaches to analyze residuals in binary regression models based on random effect components. Our preferred model does not depend upon any tuning parameter, being completely automatic. Although the ...
Bayesian outlier analysis in binary regression
(Routledge Journals, Taylor & Francis Ltd, 2010-01-01)
We propose alternative approaches to analyze residuals in binary regression models based on random effect components. Our preferred model does not depend upon any tuning parameter, being completely automatic. Although the ...
Polynomial order selection in random regression models via penalizing adaptively the likelihood
(Wiley, 2015-08)
Orthogonal Legendre polynomials (LP) are used to model the shape of additive genetic and permanent environmental effects in random regression models (RRM). Frequently, the Akaike (AIC) and the Bayesian (BIC) information ...
Bayesian outlier analysis in binary regression
(Routledge Journals, Taylor & Francis Ltd, 2014)
Comparison of random regression models to estimate genetic parameters for milk production in Guzerat (Bos indicus) cows
(2013-01-24)
Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression ...
Comparison of random regression models to estimate genetic parameters for milk production in Guzerat (Bos indicus) cows
(2013-01-24)
Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression ...