Stochastic Expectation Maximization Algorithm
Mostrando 1-3 de 3 artigos, teses e dissertações.
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1. THE EM ALGORITHM FOR STANDARD STOCHASTIC FRONTIER MODELS
ABSTRACT The Expectation-Maximization (EM) algorithm is developed for the stochastic frontier models most used in practice with cross-section data. The resulting algorithms can be easily programmed into a computer and are shown to be worthy alternatives to general-purpose optimization routines currently used. The algorithms for the half normal and the expone
Pesqui. Oper.. Publicado em: 02/12/2019
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2. Multi-look polarimetric SAR image segmentation using mixture models / Modelos de mistura de distribuições na segmentação de imagens SAR polarimétricas multi-look
Esta tese se concentra em aplicar os modelos de mistura de distribuições na segmentação de imagens SAR polarimétricas multi-look. Dentro deste contexto, utilizou-se o algoritmo SEM em conjunto com os estimadores obtidos pelo método dos momentos para calcular as estimativas dos parâmetros do modelo de mistura das distribuições Wishart, Kp ou G0p. Cad
Publicado em: 2009
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3. gerbil: Genotype resolution and block identification using likelihood
The abundance of genotype data generated by individual and international efforts carries the promise of revolutionizing disease studies and the association of phenotypes with individual polymorphisms. A key challenge is providing an accurate resolution (phasing) of the genotypes into haplotypes. We present here results on a method for genotype phasing in the
National Academy of Sciences.