Conditional Variance
Mostrando 1-12 de 38 artigos, teses e dissertações.
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1. PRE- AND PERINATAL FACTORS ASSOCIATED WITH WEIGHT GAIN AMONG PRESCHOOL CHILDREN ENROLLED AT DAY CARE CENTERS
RESUMO Objetivo: Identificar fatores associados com o ganho ponderal excessivo entre pré-escolares de Centros de Educação Infantil (CEIs) em uma capital do Nordeste brasileiro. Métodos: Estudo transversal realizado em cinco CEIs situados no distrito de maior vulnerabilidade socioeconômica do município. Foram incluídas 326 crianças de ambos os sexos
Rev. paul. pediatr.. Publicado em: 13/01/2020
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2. Inequalities in access to HIV and syphilis tests in prenatal care in Brazil
O estudo teve como objetivos avaliar os determinantes sociais do acesso a testes para HIV e sífilis (VDRL) durante a gravidez no Brasil. As variáveis dependentes foram definidas de acordo com o acesso à assistência pré-natal: consultas de pré-natal e testes para HIV e sífilis. As variáveis independentes no primeiro nível foram escolaridade, idade, r
Cad. Saúde Pública. Publicado em: 30/05/2019
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3. Modelos lineares mistos em dados longitudionais com o uso do pacote ASReml-R / Linear Mixed Models with longitudinal data using ASReml-R package
Currently, most part of the experiments installed is designed to be carried out observations over time or at different depths. These experiments usually have a longitudinal factor. One way of analyzing this data set is by using mixed models through means of inclusion of random effect factors, and it is possible to estimate the variance components associated
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 10/04/2012
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4. Estimação indireta de modelos R-GARCH / Indirect inference of R-GARCH models
Linear processes do not capture the structure of financial data. There is a large variety of nonlinear models available in literature. The class of ARCH models (Autoregressive Conditional Heterokedastic) was introduced by Engle (1982) in order to estimate inflation\ s variance. The idea is that, in this class, returns are serially uncorrelated, but the volat
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 01/03/2012
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5. Ensaios sobre a meta de inflação ótima para o Brasil / Optimal inflation target for the Brazilian economy
Inflation targeting regimes have been adopted by a large number of countries in recent years. Obviously, the definition of the actual inflation target to be pursued is an essential part of this regime. This work aims to make a contribution to the debate about the optimal target for Brazil. The three essays follow different paths in an attempt to estimate the
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 22/03/2011
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6. 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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7. Efeitos das intervenções na taxa de câmbio: o caso brasileiro de 1999 a 2008
This study emcompasses an analysis of the Brazilian foreign exchange interventions from the year 1999 to 2008 and their effects on the R$/US$ exchange rate. The objective was to verify if the foreign exchange interventions had any significant impact on the exchange rate behavior. The interventions were analyzed with different methods such as an event-study a
Publicado em: 2009
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8. Formação de preços e finanças comportamentais: um estudo empírico no mercado futuro de cacau / Training Rates and Behavioral Finance: An empirical study in the cocoa futures market.
This work aimed to exam the formation of future market prices of cocoa traded on the New York Stock Exchange, under the view of the volatility from January 1997 to August 2008, since the future market is playing an important role in making decision, focusing on maximizing returns. In a particular way, the study of volatility is an essential tool in this mark
Publicado em: 2009
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9. 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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10. MÃtodo adaptativo de Markov Chain Monte Carlo para manipulaÃÃo de modelos Bayesianos
Historically, Bayesian models have deserved special attention from academy and applied fields mainly by allowing mathematical combination of human judgments and empirical data. Markov Chain Monte Carlo (MCMC) methodology is one of the main classes of approaches for computing marginal estimates from Bayesian models. Among Markov Chain Monte Carlo methods, Met
Publicado em: 2009
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11. Transmission of prices and volatility in the marketing of pork / Transmissão de preços e da volatilidade na comercialização da carne suína
The pork chain, despite showing significant technical improvement and competitiveness, is still one of the most volatile sectors of Brazilian agribusiness, and marketing and price fluctuation is one of the main barriers for its development. Accordingly, the present study aimed to analyze the price ratios and volatility among production agents and major meat
Publicado em: 2009
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12. Dynamic hedging in markov regimes
This dissertation proposes a bivariate markov switching dynamic conditional correlation model for estimating the optimal hedge ratio between spot and futures contracts. It considers the cointegration between series and allows to capture the leverage e¤ect in return equation. The model is applied using daily data of future and spot prices of Bovespa Index an
Publicado em: 02/10/2008