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The FGM bivariate lifetime copula model: a bayesian approach
(2011)
In this paper, we propose a bivariate distribution for the bivariate survival times based on Farlie-Gumbel-Morgenstern copula to model the dependence on a bivariate survival data. The proposed model allows for the presence ...
The log-Weibull-negative-binomial regression model under latent failure causes and presence of randomized activation schemes
(Taylor and FrancisPhiladelphia, 2015-08)
The purpose of this paper is to develop a Bayesian approach for the log-Weibull-negative-binomial regression
model under latent failure causes and presence of a randomized activation mechanism. We assume
the number of ...
Estimation and diagnostics for heteroscedastic nonlinear regression models based on scale mixtures of skew-normal distributions
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
An extension of some standard likelihood based procedures to heteroscedastic nonlinear regression models under scale mixtures of skew-normal (SMSN) distributions is developed. This novel class of models provides a useful ...
Influence Diagnostics for a Skew Extension of the Grubbs Measurement Error Model
(TAYLOR & FRANCIS INC, 2009)
Influence diagnostics methods are extended in this article to the Grubbs model when the unknown quantity x (latent variable) follows a skew-normal distribution. Diagnostic measures are derived from the case-deletion approach ...
On estimation and influence diagnostics for log-Birnbaum-Saunders Student-t regression models: Full Bayesian analysis
(ELSEVIER SCIENCE BV, 2010)
The purpose of this paper is to develop a Bayesian approach for log-Birnbaum-Saunders Student-t regression models under right-censored survival data. Markov chain Monte Carlo (MCMC) methods are used to develop a Bayesian ...
Next-Generation Sequencing Reveals Pathway Activations and New Routes to Targeted Therapies in Cutaneous Metastatic Melanoma
(Lippincott Williams & Wilkins, 2017-01-01)
Background: Comprehensive genomic profiling of clinical samples by next-generation sequencing (NGS) can identify one or more therapy targets for the treatment of metastatic melanoma (MM) with a single diagnostic test. ...
A general long-term aging model with different underlying activation mechanisms: Modeling, Bayesian estimation, and case influence diagnostics
(Taylor & Francis Inc, 2017-01-01)
In this paper we propose a general cure rate aging model. Our approach enables different underlying activation mechanisms which lead to the event of interest. The number of competing causes of the event of interest is ...
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 ...