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Registros recuperados: 11
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Análise genética de características morfológicas em bovinos da raça Nelore utilizando modelos de limiar. Infoteca-e
MAGNABOSCO, C. de U.; FARIA, C. U. de; MADUREIRA, A. P.; ROSA, G. J.; BEZERRA, L. A. F.; LÔBO, R. B.; SAINZ, R. D..
bitstream/CPAC-2009/26816/1/p2005_23.pdf
Tipo: Fôlder / Folheto / Cartilha (INFOTECA-E) Palavras-chave: Gibbs sampling; Genetic parameters.; Amostragem; Genética Animal; Gado de Corte; Parâmetro Genético.; Beef cattle; Genetics..
Ano: 2006 URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/569442
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Aplicaciones del modelo LASSO bayesiano en finanzas. Colegio de Postgraduados
García Salinas, Yazmín.
En el presente trabajo se propone utilizar la metodología conocida como LASSO Bayesiano [Park y Casella (2008)] para ajustar un modelo de regresión lineal a indicadores económicos relacionados con el PIB (GDP: Gross Domestic Product por sus siglas en Inglés), utilizando como variable respuesta el PIB de Estados Unidos. Esta técnica utiliza la ventaja de ver a LASSO como una estimación a posteriori cuando los parámetros de regresión tienen distribución a priori Laplace idénticamente distribuidas e independientes [Tibshirani (1996)], aprovechando la utilidad del muestreador de Gibbs [Casella (2001)] y los modelos jerárquicos [Lee (2004)]. Se utiliza el paquete BLR [de los Campos y Pérez (2010)] implementado en el programa R [R Development Core Team (2011)]...
Palavras-chave: Modelo lineal; Prueba de permutaciones; Muestreador de Gibbs; Modelos Jerárquicos; Linear model; Permutation test; Gibbs sampling; Hierarchical Models; Maestría; Estadística.
Ano: 2011 URL: http://hdl.handle.net/10521/646
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Bayesian analysis in Stata with WinBUGS AgEcon
Thompson, John M.; Palmer, Tom M.; Moreno, Santiago G..
WinBUGS is a program for Bayesian model fitting by Gibbs sampling. WinBUGS has limited facilities for data handling, whereas Stata has no routines for Bayesian analysis; therefore, much can be gained by running Stata and WinBUGS together. We present a set of ado-files that enable data to be processed in Stata and then passed to WinBUGS for model fitting; finally, the results are read back into Stata for further processing.
Tipo: Article Palavras-chave: Wbarray; Wbdata; Wbscalar; Wbstructure; Wbvector; Wbrun; Wbscript; Wbcoda; Wbac; Wbbgr; Wbgeweke; Wbintervals; Wbsection; Wbtrace; Wbstats; Wbdensity; Wbdic; Wbbull; Wbdecode; Bayesian methods; MCMC; Gibbs sampling; WinBUGS; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/119243
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Bayesian analysis of growth, stem straightness and branching quality in full-sib families of Eucalyptus globulus Bragantia
Mora,Freddy; Ballesta,Paulina; Serra,Nicolle.
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, branching quality and growth traits were based on a Bayesian modelling approach using Gibbs sampling. A Bayes Factor (BF) analysis supported the hypothesis of significant additive genetic variation for all traits under study. Conversely, the BF supported a model with significant dominance effects for the diameter at breast height and stem volume, which explained up to 25% of the phenotypic variation. The...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bayes factor; Credible region; Gibbs sampling; Quality traits; Threshold models.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000300328
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Bayesian genetic parameters for body weight and survival of Nile tilapia farmed in Brazil PAB
Santos,Alexandra Inês; Ribeiro,Ricardo Pereira; Vargas,Lauro; Mora,Freddy; Alexandre Filho,Luiz; Fornari,Darci Carlos; Oliveira,Sheila Nogueira de.
The objective of this study was to estimate genetic parameters for survival and weight of Nile tilapia (Oreochromis niloticus), farmed in cages and ponds in Brazil, and to predict genetic gain under different scenarios. Survival was recorded as a binary response (dead or alive), during harvest time in the 2008 grow-out period. Genetic parameters were estimated using a Bayesian mixed linear-threshold animal model via Gibbs sampling. The breeding population consisted of 2,912 individual fish, which were analyzed together with the pedigree of 5,394 fish. The heritabilities estimates, with 95% posterior credible intervals, for tagging weight, harvest weight and survival were 0.17 (0.09-0.27), 0.21 (0.12-0.32) and 0.32 (0.22-0.44), respectively. Credible...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Oreochromis niloticus; Correlation; Fish genetic improvement; Gibbs sampling; GIFT strain; Heritability.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2011000100005
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Beneficios da integracao entre lavoura e pecuaria. Infoteca-e
VILELA, L.; BARCELLOS, A. de O.; SOUSA, D. M. G. de.
bitstream/CPAC-2010/23704/1/doc-42.pdf
Tipo: Documentos (INFOTECA-E) Palavras-chave: PVPECL100; Gibbs sampling; Variance components; Brasil; Bovino: Genetica e melhoramento animal.; Bovino; Cerrado; Grão; Lavoura; Pecuária; Produtividade.; Produção Animal; Genetics..
Ano: 2001 URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/567050
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Estimate of genetic parameters for carcass traits and visual scores inmeat sheep using Bayesian inference via threshold and linear models Ciência Rural
Figueiredo Filho,Luiz Antonio Silva; Sarmento,José Lindenberg Rocha; Ó,Alan Oliveira do; Santos,Natanael Pereira da Silva; Sena,Luciano Silva; Sousa Júnior,Antonio de.
ABSTRACT: The aim of this study was to estimate the variance components and genetic parameters for marbling in the ribeye area (MRA) and body condition score (BCS) using Bayesian inference via mixed linear and threshold animal models. Data were obtained from Santa Ines breed sheep reared in the Brazilian Mid-North region. Analyses considering the Monte Carlo methods were performed with Markov chains from 500000 cycles onward. A 200000-cycle initial burn-in was considered with values taken at every 250 cycles, in a total of 1200 samples. The Monte Carlo Error deviations were low for the means heritability in all chains by both linear and threshold models. Additive variances estimated by threshold model were higher than those estimated by the linear model....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Gibbs sampling; Categorical data; Marble meat; Ultrasound.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000300653
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Implementação da amostragem de Gibbs no estudo da correlação genética entre as características de espessura de gordura e perímetro escrotal em bovinos da raça nelore. Infoteca-e
BARBOSA, V.; MAGNABOSCO, C. de U.; FARIA, C. U. de; CUNHA, F. A. R. da; LÔBO, R. B.; SAINZ, R. D..
bitstream/CPAC-2009/26800/1/p2005_12.pdf
Tipo: Fôlder / Folheto / Cartilha (INFOTECA-E) Palavras-chave: Gibbs sampling; Genetic parameters.; Amostragem; Genética Animal; Gado Nelore; Gado de Corte; Parâmetro Genético.; Genetics.; Beef cattle.
Ano: 2006 URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/569427
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Implementacao da amostragem de Gibbs para estimacao de componentes de co-variancia e parametros geneticos em dados de campo de bovinos Nelore. Infoteca-e
MAGNABOSCO, C. de U.; FARIA, C. U. de; BORJAS, A. de los R.; LOBO, R. B.; SAINZ, R. D..
bitstream/CPAC-2010/23701/1/doc-37.pdf
Tipo: Documentos (INFOTECA-E) Palavras-chave: Gibbs sampling; Variance components; Brasil; Bovino: Genetica e melhoramento animal.; Bovino; Cerrado; Gado de Corte; Genética Animal; Gado Nelore; Parâmetro Genético.; Genetics..
Ano: 2001 URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/567054
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Speculation and Volatility Spillover in the Crude Oil and Agricultural Commodity Markets: A Bayesian Analysis AgEcon
Du, Xiaodong; Yu, Cindy L.; Hayes, Dermot J..
This paper assesses the roles of various factors influencing the volatility of crude oil prices and the possible linkage between this volatility and agricultural commodity markets. Stochastic volatility models are applied to weekly crude oil, corn, and wheat futures prices from November 1998 to January 2009. Model parameters are estimated using Bayesian Markov chain Monte Carlo methods. The main results are as follows. Speculation, scalping, and petroleum inventories are found to be important in explaining oil price variation. Several properties of crude oil price dynamics are established, including mean-reversion, a negative correlation between price and volatility, volatility clustering, and infrequent compound jumps. We find evidence of volatility...
Tipo: Working or Discussion Paper Palavras-chave: Gibbs sampling; Merton jump; Leverage effect; Stochastic volatility.; Agricultural and Food Policy; Resource /Energy Economics and Policy.
Ano: 2009 URL: http://purl.umn.edu/50073
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Speculation and Volatility Spillover in the Crude Oil and Agricultural Commodity Markets: A Bayesian Analysis AgEcon
Du, Xiaodong; Yu, Cindy L.; Hayes, Dermot J..
This paper assesses the roles of various factors influencing the volatility of crude oil prices and the possible linkage between this volatility and agricultural commodity markets. Stochastic volatility models are applied to weekly crude oil, corn and wheat futures prices from November 1998 to January 2009. Model parameters are estimated using Bayesian Markov chain Monte Carlo methods. The main results are as follows. Speculation, scalping, and petroleum inventories are found to be important in explaining oil price variation. Several properties of crude oil price dynamics are established including mean-reversion, a negative correlation between price and volatility, volatility clustering, and infrequent compound Poisson jumps. We find evidence of volatility...
Tipo: Conference Paper or Presentation Palavras-chave: Gibbs sampling; Merton jump; Leverage effect; Stochastic volatility; Demand and Price Analysis; Financial Economics; Resource /Energy Economics and Policy; G13; Q4.
Ano: 2009 URL: http://purl.umn.edu/49276
Registros recuperados: 11
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