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Beyond genomic selection: The animal model strikes back (one generation)!
(Wiley Blackwell Publishing, Inc, 2017-06)
Genome inheritance is by segments of DNA rather than by independent loci. We introduce the ancestral regression (AR) as a recursive system of simultaneous equations, with grandparental path coefficients as novel parameters. ...
Información discriminativa en clasificadores basados en modelos ocultos de Markov
(2011-03-09)
Hidden Markov models (HMM) are statistical models which can efficiently deal with sequential data. They provide a way to model complex dependencies between observed data by setting simple dependencies between latent ...
Mixed-state Markov models in image motion analysis
(Springer Verlag Berlín, 2011)
When analyzing motion observations extracted from image sequences one notes that the histogram of the velocity magnitude at each pixel shows a large probability mass at zero velocity, while the rest of the motion values ...
Processos de markov ponderado-gama e modelagem de séries temporais inteiras multivariadas via cópulas
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE ESTATÍSTICAPrograma de Pós-Graduação em EstatísticaUFMG, 2022-08-19)
In this work we propose two models for time series, motivated by financial market applications. First, we propose a Markov process for positive continuous series, driven by a gamma weight density, the weighted-gamma Markov ...
Markov Chain Monte Carlo Posterior Density Approximation for a Groove Dimensioning Purpose
(Institute of Electrical and Electronics Engineers, 2006-02)
The purpose of this paper is to present a new approach for measurand uncertainty characterization. The Márkov chain Monte Carlo (MCMC) is applied to measurand probability density function (pdf) estimation, which is considered ...
Genomic characterization of salmonella Cerro ST367, an emerging Salmonella subtype in cattle in the United States
(BioMed Central Ltd., 2014-06)
Background: Within the last decade, Salmonella enterica subsp. enterica serovar Cerro (S. Cerro) has become one of
the most common serovars isolated from cattle and dairy farm environments in the northeastern US. The fact ...
Entropy estimation for robust image segmentation in presence of non Gaussian noise
(Springer, 2021-01-14)
In this work we introduce a new approach for robust image segmentation. The idea is to combine two strategies within a Bayesian framework. The first one is to use a Markov Random Field (MRF), which allows to introduce prior ...
Procedimiento de cuantificación - reconstrucción de procesos no gaussianos en la salida del convertidor no lineal
(Castañeda Rufino, Hugo Antonio, 2017-02-08)
El presente trabajo hace uso de las principales propiedades estadísticas de los procesos aleatorios
como la Esperanza Matemática, la Función de Densidad de Probabilidad y la Función de Covarianza mediante la Regla de la ...
Bayesian entropy estimation applied to non-gaussian robust image segmentation
(Centro de Investigación en Matemáticas, A.C., 2012-10)
We introduce a new approach for robust image segmentation combining two strategies within a Bayesian framework. The first one is to use a Markov random field (MRF) which allows to introduce prior information with the purpose ...