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A Bayesian Semiparametric Approach for Solving the Discrete Calibration Problem
(TAYLOR & FRANCIS INC, 2010)
In this article, we introduce a semi-parametric Bayesian approach based on Dirichlet process priors for the discrete calibration problem in binomial regression models. An interesting topic is the dosimetry problem related ...
Latent residual analysis in binary regression with skewed link
(BRAZILIAN STATISTICAL ASSOCIATIONSAO PAULO, 2012)
Model diagnostics is an integral part of model determination and an important part of the model diagnostics is residual analysis. We adapt and implement residuals considered in the literature for the probit, logistic and ...
Bayesian first order auto-regressive latent variable models for multiple binary sequences
(SAGE PUBLICATIONS LTD, 2011)
Longitudinal clinical trials often collect long sequences of binary data monitoring a disease process over time. Our application is a medical study conducted in the US by the Veterans Administration Cooperative Urological ...
Assessing the order of dependence for partially exchangeable binary data
(AMER STATISTICAL ASSOC, 1998)
The problem we consider is how to assess the order of serial dependence within partially exchangeable binary sequences, We obtain exact conditional tests comparing any two orders by finding the conditional distribution of ...
Framework for Skew-Probit Links in Binary Regression
(TAYLOR & FRANCIS INC, 2010)
We review several asymmetrical links for binary regression models and present a unified approach for two skew-probit links proposed in the literature. Moreover, under skew-probit link, conditions for the existence of 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 ...
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, 2014)
A fast electric load forecasting using neural networks
(2000-12-01)
The objective of this work is the development of a methodology for electric load forecasting based on a neural network. Here, it is used Backpropagation algorithm with an adaptive process based on fuzzy logic. This methodology ...
A fast electric load forecasting using neural networks
(2000-12-01)
The objective of this work is the development of a methodology for electric load forecasting based on a neural network. Here, it is used Backpropagation algorithm with an adaptive process based on fuzzy logic. This methodology ...