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HPB: A Model for Handling BN Nodes with High Cardinality Parents
(Microtome PublBrooklineEUA, 2008)
Joint non-parametric estimation of mean and auto-covariances for Gaussian processes
(ElsevierInternational Association for Statistical ComputingComputational and Methodological StatisticsNL, 2022-05-05)
Gaussian processes that can be decomposed into a smooth mean function and a stationary autocorrelated noise process are considered and a fully automatic nonparametric method to simultaneous estimation of mean and auto-covariance ...
Prediction of failure probability of oil wells
(Brazilian Statistical Association, 2014)
Predição em modelos de tempo de falha acelerado com efeito aleatório para avaliação de riscos de falha em poços petrolíferos
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Matemática Aplicada e EstatísticaProbabilidade e Estatística; Modelagem Matemática, 2010-05-28)
We considered prediction techniques based on models of accelerated failure time with
random e ects for correlated survival data. Besides the bayesian approach through empirical
Bayes estimator, we also discussed about ...
Tsunami Resonance in the bay of Concepcion, Chile
(2014)
Natural oscillation modes of the Bay of Concepcion are determined by means of Empirical Orthogonal Functions. Simulations of the 2010 and 1960 tsunamis were performed using 4 nested grids of 120, 30, 6 and 1” arc resolution ...
Joint non-parametric estimation of mean and auto-covariances for Gaussian processes
(ElsevierInternational Association for Statistical ComputingComputational and Methodological StatisticsNL, 2022-05-05)
Gaussian processes that can be decomposed into a smooth mean function and a stationary autocorrelated noise process are considered and a fully automatic nonparametric method to simultaneous estimation of mean and auto-covariance ...
Test procedures based on combination of Bayesian evidences for H-0
(BRAZILIAN STATISTICAL ASSOCIATION, 2012)
We introduce two procedures for testing which are based on pooling the posterior evidence for the null hypothesis provided by the full Bayesian significance test and the posterior probability for the null hypothesis. ...
Bayesian estimation of dynamic mixture models by wavelets
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2023-04-20)
Gaussian mixture models are used successfully in various statistical learning applications. The good results provided by these models encourage several generalizations of them. Among possible adaptations, one can assume a ...