A hierarchical semiparametric regression model for combining HIV-1 phylogenetic analyses using iterative reweighting algorithms
Phylogenetic modeling is computationally challenging and most phylogeny models fit a
single phylogeny to a single set of molecular sequences. Individual phylogenetic analyses …
single phylogeny to a single set of molecular sequences. Individual phylogenetic analyses …
Bayesian analysis of Birnbaum-Saunders survival model with cure fraction under a variety of activation mechanism
In this paper we propose a new cure rate survival model. Our approach enables different
underlying activation mechanisms which lead to the event of interest. The number of …
underlying activation mechanisms which lead to the event of interest. The number of …
Securing Robots: An Integrated Approach for Security Challenges adn Monitoring for the Robotic Operating System
S Rivera - 2021 - orbilu.uni.lu
Robotic systems are proliferating in our society due to their capacity to carry out physical
tasks on behalf of human beings, with current applications in the military, industrial …
tasks on behalf of human beings, with current applications in the military, industrial …
Bayesian sensitivity analysis and model comparison for skew elliptical models
I Vidal, P Iglesias, MD Branco… - Journal of statistical …, 2006 - Elsevier
In this work we approach the problem of model comparison between skew families. For the
univariate skew model, we measure the sensitivity of the skewness parameter using the L1 …
univariate skew model, we measure the sensitivity of the skewness parameter using the L1 …
A general long-term aging model with different underlying activation mechanisms: Modeling, Bayesian estimation, and case influence diagnostics
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 …
underlying activation mechanisms which lead to the event of interest. The number of …
[PDF][PDF] Towards the construction of large Bayesian networks for Web cost estimation
S Baker - 2009 - researchgate.net
Predicting the effort to develop a Web application is of vital importance for successful project
management. Too often Web development projects overrun their allocated budget before …
management. Too often Web development projects overrun their allocated budget before …
A non-default fraction bivariate regression model for credit scoring: An application to brazilian customer data
In this article, we propose a lifetime model for bivariate survival data with a non-default rate.
Our approach enables different underlying activation mechanisms that lead to the event of …
Our approach enables different underlying activation mechanisms that lead to the event of …
Posterior predictive outlier detection using sample reweighting
AM Zaslavsky, ET Bradlow - Journal of Computational and …, 2010 - Taylor & Francis
To facilitate checking and improvement of a Bayesian model, we define an outlier as an
observation or group of observations that is “surprising” relative to its predictive distribution …
observation or group of observations that is “surprising” relative to its predictive distribution …
Modelos de sobrevivência bivariados baseados na cópula FGM: uma abordagem bayesiana
AK Suzuki - 2012 - repositorio.ufscar.br
Neste trabalho apresentamos uma análise bayesiana para dados de sobrevivência
bivariados na presença de covariáveis e observaçoes censuradas. Propomos uma …
bivariados na presença de covariáveis e observaçoes censuradas. Propomos uma …
Bayesian prior impact assessment for dynamical systems described by ordinary differential equations
In this study we extend the use of the Wasserstein Impact Measure (WIM) to the problem of
assessing prior impact in Bayesian models governed by systems of ordinary differential …
assessing prior impact in Bayesian models governed by systems of ordinary differential …