Bayesian Estimation
Mostrando 1-12 de 87 artigos, teses e dissertações.
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1. Bayesian modeling of the maximum streamflows from the Furnas reservoir
ABSTRACT The objective of this work was to predict the maximum flow of the Furnas reservoir in the dry and wet periods. The generalized distribution of extreme values (GEV) was used with parameter estimation via Bayesian inference. Data on average daily streamflows corresponding to the years 1965 to 2017 were obtained from Hidroweb, by the National Agency fo
Engenharia Sanitaria e Ambiental. Publicado em: 2022
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2. Facial processing in bipolar disorder is mediated by clinical and biological aspects
Objective: The process of detecting faces can be considered one of the initial steps in face recognition, which is essential for human interaction. We sought to investigate whether a face perception task reliably detects subtle perceptual disturbances between patients with bipolar disorder (BD) and healthy controls. Methods: In this multisite study, we exam
Brazilian Journal of Psychiatry. Publicado em: 2022
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3. Impairments of facial detection in tobacco use disorder: baseline data and impact of smoking duration
Objective: Chronic tobacco consumption, classified as tobacco use disorder (TUD), has been associated with a variety of health problems. Investigations of face processing in TUD are hampered by lack of evidence. Here, we evaluated facial detection in TUD and assessed test-retest reliability for a facial detection task. Methods: Participants were instructed
Braz. J. Psychiatry. Publicado em: 2021-08
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4. Bayesian factor analysis for mixed data on management studies
Abstract Purpose Factor analysis is the most used tool in organizational research and its widespread use in scale validations contribute to decision-making in management. However, standard factor analysis is not always applied correctly mainly due to the misuse of ordinal data as interval data and the inadequacy of the former for classical factor analysis.
RAUSP Manag. J.. Publicado em: 13/12/2019
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5. ESTIMATION OF PARAMETERS AND STATES USING A BAYESIAN PARTICLE FILTER FOR THE SULFATE ION ADSORPTION PROCESS IN A FIXED BED COLUMN
Abstract Ensuring that industrial effluents meet quality standards to be released into water bodies is still one of the major environmental concerns. Liquid phase adsoption in fixed bed collumns is one of the most known treatments. Measurements are needed to monitor the process. However, as they are often corrupted by noise from the measuring equipment, perf
Braz. J. Chem. Eng.. Publicado em: 09/12/2019
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6. Uncertainty estimation in hydrodynamic modeling using Bayesian techniques
RESUMO A avaliação de incertezas tem emergido como estudo primordial para se conhecerem os efeitos dos erros inerentes aos processos de modelagem de perfis de escoamento de vazões de cheia, de natureza aleatória e epistêmica, presentes em dados de entrada como vazões e topobatimetria, na estrutura e parametrização dos modelos matemáticos utilizados
RBRH. Publicado em: 17/10/2019
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7. Aerial biomass allometric models for Prosopis affinis Spreng. in native Espinal forests of Argentina
RESUMO A estimativa do carbono armazenado nos ecossistemas florestais requer ferramentas precisas para prever a biomassa. Objetivou-se nesse estudo determinar a biomassa aérea individual de Prosopis affinis e sua distribuição por componente; desenvolver modelos alométricos para prever a biomassa, e estimar os fatores de expansão da biomassa (FEB) em flo
Rev. bras. eng. agríc. ambient.. Publicado em: 01/07/2019
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8. Combined index of genomic prediction methods applied to productivity
RESUMO: A cultura do arroz tem grande importância nacional e mundial por ser um dos cereais mais produzidos e consumidos no mundo, caracterizando-se como o principal alimento de mais da metade da população mundial. Em função de sua importância alimentar, desenvolver métodos eficientes que visam a predição e a seleção de indivíduos geneticamente
Cienc. Rural. Publicado em: 19/06/2019
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9. Triple categorical regression for genomic selection: application to cassava breeding
ABSTRACT: Genome-wide selection (GWS) is currently a technique of great importance in plant breeding, since it improves efficiency of genetic evaluations by increasing genetic gains. The process is based on genomic estimated breeding values (GEBVs) obtained through phenotypic and dense marker genomic information. In this context, GEBVs of N individuals are c
Sci. agric. (Piracicaba, Braz.). Publicado em: 20/05/2019
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10. Bayesian sequential procedure to estimate the viability of seeds Coffea arabica L. in tetrazolium test
ABSTRACT: Tetrazolium tests use conventional sampling techniques in which a sample has a fixed size. These tests may be improved by sequential sampling, which does not work with fixed-size samples. When data obtained from an experiment are analyzed sequentially the analysis can be terminated when a particular decision has been made, and thus, there is no nee
Sci. agric. (Piracicaba, Braz.). Publicado em: 2019-05
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11. Bayesian estimation of genotypic and phenotypic correlations from crop variety trials
Abstract Genotypic and phenotypic correlations are necessary for constructing indirect selection indices. Bayesian analysis, therefore, was applied to obtain posterior distributions of the correlations, and the estimates were compared with those under a frequentist approach. Three a priori distributions for standard deviation components based on uniform dist
Crop Breed. Appl. Biotechnol.. Publicado em: 2016-03
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12. Single-trait bayesian analysis of some growth traits in japanese quail
The aim of this study was to estimate the heritability for some growth traits of Japanese quail through the estimation of variance components by Bayesian methodology. For this purpose, 340 progenies of 34 sires were used. Live weight (LW42) and absolute and relative growth rates at 42 days of age (AGR42 and RGR42, respectively) were submitted to single-trait
Rev. Bras. Cienc. Avic.. Publicado em: 2014-06