Bayesian Modeling
Mostrando 13-24 de 60 artigos, teses e dissertações.
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13. Mixed effect models for predicting breast height diameter from stump diameter of Oriental beech in Göldağ
Diameter at breast height (DBH) is the simplest, most common and most important tree dimension in forest inventory and is closely correlated with wood volume, height and biomass. In this study, a number of linear and nonlinear models predicting diameter at breast height from stump diameter were developed and evaluated for Oriental beech (Fagus orientalisLips
Sci. agric. (Piracicaba, Braz.). Publicado em: 2015-06
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14. QSAR Study of the Inhibitors of the Acetyl-CoA Carboxylase 1 and 2 using Bayesian Regularized Genetic Neural Networks: A Comparative Study
Linear and non-linear quantitative structure-activity relationship (QSAR) models were presented for modeling and predicting anti-diabetic activities of a set of inhibitors of acetyl-CoA carboxylase 1 and 2 (ACC1 and ACC2). Different algorithms were utilized to choose the best variables among large numbers of descriptors and then these selected descriptors we
J. Braz. Chem. Soc.. Publicado em: 2015-03
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15. Comparison of breeding value prediction for two traits in a Nellore-Angus crossbred population using different Bayesian modeling methodologies
The objectives of this study were to 1) compare four models for breeding value prediction using genomic or pedigree information and 2) evaluate the impact of fixed effects that account for family structure. Comparisons were made in a Nellore-Angus population comprising F2, F3 and half-siblings to embryo transfer F2 calves with records for overall temperament
Genet. Mol. Biol.. Publicado em: 14/11/2014
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16. Ability of non-linear mixed models to predict growth in laying hens
In this study, the Von Bertalanffy, Richards, Gompertz, Brody, and Logistics non-linear mixed regression models were compared for their ability to estimate the growth curve in commercial laying hens. Data were obtained from 100 Lohmann LSL layers. The animals were identified and then weighed weekly from day 20 after hatch until they were 553 days of age. All
R. Bras. Zootec.. Publicado em: 2014-11
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17. Daily counting of manufactured units sent for quality control: a bayesian approach
This paper presents the statistical modeling for daily counting statistics of units that arrive for quality inspection at a food company. Different Poisson regression models were considered in order to analyze the data collected, with a Bayesian focus. The main objective was to forecast the daily average count based on co-variables such as days of the week.
Pesqui. Oper.. Publicado em: 16/07/2013
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18. Modelagem de volatilidade via modelos GARCH com erros assimétricos: abordagem Bayesiana / Volatility modeling through GARCH models with asymetric errors: Bayesian approach
A modelagem da volatilidade desempenha um papel fundamental em Econometria. Nesta dissertação são estudados a generalização dos modelos autorregressivos condicionalmente heterocedásticos conhecidos como GARCH e sua principal generalização multivariada, os modelos DCC-GARCH (Dynamic Condicional Correlation GARCH). Para os erros desses modelos são con
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 12/06/2012
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19. A política fiscal e o ciclo econômico brasileiro
Essa tese de doutorado tem como objetivo analisar os efeitos da política fiscal sobre o ciclo econômico brasileiro, e encontra-se dividida em dois capítulos. No capítulo 1, intitulado Uma Análise da Ciclicidade da Política Fiscal Brasileira, uma vasta literatura teórica e empírica afirma que a política fiscal nos países em desenvolvimento é pró-c
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 28/05/2012
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20. Persistency of lactation using random regression models and different fixed regression modeling approaches
Milk yield test-day records on the first three lactations of 25,500 Holstein cows were used to estimate genetic parameters and predict breeding values for nine measures of persistency and 305-d milk yield in a random regression animal model using two criteria to define the fixed regression. Legendre polynomials of fourth and fifth orders were used to model t
R. Bras. Zootec.. Publicado em: 2012-09
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21. ANN model of RF MEMS Lateral SPDT switches for millimeter wave applications
This paper presents Artificial Neural Network (ANN) implementation for the Radio Frequency (RF) and Mechanical modeling of lateral RF Micro Electro Mechanical System (MEMS) series micro machined Single pole double through (SPDT) switch. We propose an efficient approach based on ANN for analyzing the losses in ON and OFF state of lateral RF MEMS series switch
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2012-06
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22. Análise da distribuição espaço-temporal da leishmaniose visceral e perfil clínico-epidemiológico dos casos e óbitos, Belo Horizonte Minas Gerais, 1994 a 2009
Since the decade of 1980, the visceral leishmaniasis (VL) has expanded to major urban centers of Brazil. Several factors contribute to this situation and among them the great mobility of populations, environmental changes and the increase in population density, which promote contact between humans, vectors and other animals. In this latter group the dog is t
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 30/05/2011
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23. Modelos estatísticos para LGD : uma visão clássica e bayesiana
Every day in financial institution is common to nd customers who are unable to honor their commitments. When this occurs we say that the individual is in default. In a possible economic downturn the portfolio could su_er losses due to excessive default clients and high loss rates. At this stage it is essential that financial institutions have a capital reser
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 28/03/2011
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24. Modelo logístico generalizado dependente do tempo com fragilidade
Several authors have preferred to model survival data in the presence of covariates through the hazard function, a fact related to its interpretation. The hazard function describes as the instantaneous average of failure changes over time. In this context, one of the most used models is the Coxs model (1972), in which the basic supposition for its use is tha
Publicado em: 2011