Bayesian Inference Statistical Inference
Mostrando 1-12 de 30 artigos, teses e dissertações.
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1. GenomicLand: Software for genome-wide association studies and genomic prediction
ABSTRACT. GenomicLand is free software intended for prediction and genomic association studies based on the R software. This computational tool has an intuitive interface and supports large genomic databases, without requiring the user to use the command line. GenomicLand is available in English, can be downloaded from the Internet (https://licaeufv.wordpres
Acta Sci., Agron.. Publicado em: 28/03/2019
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2. Wilting whole crop black oat with glyphosate for ensiling: effects on nutritive, fermentative, and aerobic stability characteristics
ABSTRACT We aimed to evaluate the effects of glyphosate as a chemical desiccant on the nutritional quality, fermentation pattern, and aerobic stability of wilted black oat (Avena strigosa Schreb) silage. Black oat sowing occurred in the first fortnight of May 2013. Desiccant application took place when oat reached milky/dough grain stage (96 days after plant
R. Bras. Zootec.. Publicado em: 30/07/2018
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3. Vegetation Image as Bayesian Predictor for Radio Propagation in Complex Environments Using Unscented Transform
Abstract Vegetation is considered a complex environment for analysis of scattering and attenuation in radio propagation phenomena. Satellite image processing can improve planning of radio systems with a vegetation attenuation predictor. In this research, the prediction is based on the correlation of more than 56% between RGB pixel values and vegetation atten
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2018-06
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4. Modelo hierárquico bayesiano na determinação de associação entre marcadores e QTL em uma população F2 / Bayesian hierarchical model in the determination of association between markers and QTL in a F2 population
O objetivo do mapeamento de QTL (Quantitative Trait Loci ) e identificar sua posição no genoma, isto e, identificar em qual cromossomo esta e qual sua localização nesse cromossomo, bem como estimar seus efeitos genéticos. Uma vez que as localizações dos QTL não são conhecidas a priori, marcadores são usados frequentemente para auxiliar no seu mapea
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 13/04/2012
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5. Métodos estatísticos aplicados à análise de dados de etiqueta de sequência expressa / Statistical methods applied to expressed sequence tag data analisys
Pesquisas de Expressed Sequence Tags (ESTs) são uma ferramenta fundamental para identificação de genes em estudos de seqüenciamento de vários organismos. Dado uma amostra preliminar de EST de uma certa biblioteca de cDNA, vários problemas estatísticos de predição podem surgir. Em particular, é de interesse calcular o número de genes, Δ(t), qu
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 11/02/2011
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6. Modelos não-lineares para dados longitudinais provenientes de experimentos em blocos casualizados abordagem bayesiana / Nonlinear models for longitudinal data from experiments in randomized block design a bayesian framework
Data consisting of repeated measurements taken on each of a number of individual arise commonly in agricultural and biological applications. Modeling data of this kind usually involves the characterization of the relationship between the measured response and covariate. In many application,the proposed systematic relationship between the measured response is
Publicado em: 2011
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7. The enigmatic monotypic crab plover Dromas ardeola is closely related to pratincoles and coursers (Aves, Charadriiformes, Glareolidae)
The phylogenetic placement of the monotypic crab plover Dromas ardeola (Aves, Charadriiformes) remains controversial. Phylogenetic analysis of anatomical and behavioral traits using phenetic and cladistic methods of tree inference have resulted in conflicting tree topologies, suggesting a close association of Dromas to members of different suborders and line
Genetics and Molecular Biology. Publicado em: 2010
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8. Combinação de modelos de campos aleatórios markovianos para classificação contextual de imagens multiespectrais / Combining markov random field models for multispectral image contextual classification
This work presents a novel MAP-MRF approach for multispectral image contextual classification by combining higher-order Markov Random Field models. The statistical modeling follows the Bayesian paradigm, with the definition of a multispectral Gaussian Markov Random Field model for the observations and a Potts MRF model to represent the a priori knowledge. In
Publicado em: 2010
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9. Inferencia Bayesiana para valores extremos / Bayesian inference for extremes
Iniciamos o presente trabalho apresentando uma breve introdução a teoria de valores extremos, estudando especialmente o comportamento da variável aleatória que representa o máximo de uma sequência de variáveis aleatórias independentes e identicamente distribuídas. Vemos que o Teorema dos Tipos Extremos (ou Teorema de Fisher-Tippett) constitui uma fe
Publicado em: 2010
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10. Aplicações de mecânica estatística a especiação simpátrica e inferência aproximativa / Applications of statistical mechanics to sympatric speciation and aproximative inference
This thesis presents applications of the framework of Statistical Mechanics to two independent problems. The first corresponds to a computational model for the evolution of Assortative Mating in the Sympatric Speciation process; and the second a learning algorithm built by means of a Bayesian Inference approach. In the biological problem each individual in a
Publicado em: 2009
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11. Modelagem simultânea de média e dispersão e aplicações na pesquisa agronômica / Joint modeling of mean and dispersion and applications to agricultural research
Several experimental designs that are currently applied are based on agricultural experiments. These experimental data are, usually, analised with statistical models that assume constant residual variance (or homogeneous), as basic assumption. However, this assumption shows hard to stand for, when environmental or external factors exert strong influence over
Publicado em: 2009
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12. Bayesian methods in meta-analysis: specication of prior distributions for the between-studies variability / Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos
MAZIN, S. C. Bayesian methods in meta-analysis: specication of prior distributions for the between-studies variability. 2009. 175s. Dissertation (master degree) - Faculty of Medicine of Ribeir~ao Preto, University of S~ao Paulo, Ribeir~ao Preto, 2009. Health professionals, researchers and others responsible for health policy are often overwhelmed by amounts
Publicado em: 2009