Bayes Estimates
Mostrando 1-12 de 14 artigos, teses e dissertações.
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1. Genetic evaluation models for post-weaning weight gain in a multibreed Angus-Nelore population
Resumo: O objetivo deste trabalho foi identificar o modelo mais adequado para avaliação genética do ganho de peso pós-desmama em uma população multirracial de Angus-Nelore. Foram testados três modelos com uso do método de inferência bayesiana: animal tradicional (M1), animal multirracial sem (M2) e com segregação (M3). A escolha do melhor modelo s
Pesq. agropec. bras.. Publicado em: 29/08/2019
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2. Bayesian analysis of growth, stem straightness and branching quality in full-sib families of Eucalyptus globulus
ABSTRACT Eucalyptus globulus is one of the most commonly planted hardwood species for industrial use in various temperate regions around the world. The present study aimed to evaluate 62 full-sib families of E. globulus in one of the southernmost progeny trials of the species in the south of Chile. Estimates of genetic parameters for stem straightness, branc
Bragantia. Publicado em: 08/08/2019
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3. Development and validation of a genotype 3 recombinant protein-based immunoassay for hepatitis E virus serology in swine
Hepatitis E virus (HEV) is classified within the family Hepeviridae, genus Hepevirus. HEV genotype 3 (Gt3) infections are endemic in pigs in Western Europe and in North and South America and cause zoonotic infections in humans. Several serological assays to detect HEV antibodies in pigs have been developed, at first mainly based on HEV genotype 1 (Gt1) antig
Braz J Med Biol Res. Publicado em: 21/03/2014
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4. Novas propostas em filtragem de projeções tomográficas sob ruído Poisson
In this dissertation we present techniques for filtering of tomographic projections with Poisson noise. For the filtering of the tomogram projections we use variations of three filtering techniques: Bayesian estimation, Wiener filtering and thresholding in Wavelet domain. We used ten MAP estimators, each estimator with a diferent probability density as prior
Publicado em: 2010
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5. Skew normal mixed models in microarray data generated from complex pedigrees / Modelos mistos normais assimÃtricos em dados de microarrays originados de pedigrees complexos / Modelos mistos normais assimÃtricos em dados de microarrays originados de pedigrees complexos / Skew normal mixed models in microarray data generated from complex pedigrees
Estimates of heritability for gene expression are scarce and commonly originated from family structures, in which the variability of responses among and within families are provided under a uniform covariance structure for related individuals, ignoring the known relationship among all individuals in the pedigree. Gauss-Markov normal mixed models are the usua
Publicado em: 2009
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6. Modelo com erros de classificação para a proporção de não- disjunção cromossômica na meiose I
The main causes of numerical chromosomal anomalies, including trisomies, arise from an error in the chromosomal segregation during the meiotic process, named a non-disjuntion. One of the most used techniques to analyse chromosomal anomalies is the Polymerase Chain Reaction (PCR) followed by a quantitative analysis via laser densitometry, which counts the num
Publicado em: 2007
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7. Estimativas de máxima verosimilhança e bayesianas do número de erros de um software.
In this work we present the methodology of capture-recapture, under the classic and bayesian approach, to estimate the number of errors of software through inspection by distinct reviewers. We present the general statistical model considering independence among errors and among reviewers and consider the particular cases of equally detectable errors (homogen
Publicado em: 2006
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8. PROBABILISTIC PORE PRESSURE PREDICTION IN RESERVOIR ROCKS THROUGH COMPRESSIONAL AND SHEAR VELOCITIES / PREVISÃO PROBABILÍSTICA DE PRESSÃO DE POROS EM ROCHAS RESERVATÓRIO ATRAVÉS DE VELOCIDADES COMPRESSIONAIS E CISALHANTES
This work proposes a method for pore pressure prediction in reservoir rocks through compressional- and shear-velocity data (seismic attributes). In the method, the attributes are considered observations of a physic system, which behavior depends on a several not-observable parameters, where the pore pressure is only one of these parameters. To estimate the p
Publicado em: 2005
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9. Importance of Shrinkage in Empirical Bayes Estimates for Diagnostics: Problems and Solutions
Empirical Bayes (“post hoc”) estimates (EBEs) of ηs provide modelers with diagnostics: the EBEs themselves, individual prediction (IPRED), and residual errors (individual weighted residual (IWRES)). When data are uninformative at the individual level, the EBE distribution will shrink towards zero (η-shrinkage, quantified as 1-SD(ηEBE)/ω), IPREDs towa
Springer US.
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10. Variations in primary care physician referral rates.
OBJECTIVE: To examine primary care physician referral rate variations, including their extent and their stability over time and across diagnostic categories. DATA SOURCES: 1995/1996 claims data for adult patients from a large Independent Practitioner Association (IPA) model managed care organization (MCO) in the Rochester, NY metropolitan area. The IPA inclu
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11. Application of conditional probability analysis to the clinical diagnosis of coronary artery disease.
Analysis of multiple noninvasive tests offers the promise of more accurate diagnosis of coronary artery disease, but discordant test responses can occur frequently and, when observed, result in diagnostic uncertainty. Accordingly, 43 patients undergoing diagnostic coronary angiography were evaluated by noninvasive testing and the results subjected to analysi
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12. A gene expression-based method to diagnose clinically distinct subgroups of diffuse large B cell lymphoma
To classify cancer specimens by their gene expression profiles, we created a statistical method based on Bayes' rule that estimates the probability of membership in one of two cancer subgroups. We used this method to classify diffuse large B cell lymphoma (DLBCL) biopsy samples into two gene expression subgroups based on data obtained from spotted cDNA m
National Academy of Sciences.