Bayesian Modeling
Mostrando 1-12 de 60 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. Differential impact on suicide mortality during the COVID-19 pandemic in Brazil
Objectives: To compare suicide rates observed in Brazil after the onset of the COVID-19 pandemic with the estimated rate based on suicide deaths between 2010 and 2020, and identify sociodemographic variables associated with this outcome. Methods: Ecological time-series study. Data were obtained from Brazilian Unified Health System Department of Information
Brazilian Journal of Psychiatry. Publicado em: 2022
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3. 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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4. Growth and weight status of Brazilian children with autism spectrum disorders: A mixed longitudinal study
RESUMO Objetivo: Este estudo examinou o estado de crescimento e o desenvolvimento físico de crianças brasileiras com transtornos do espectro autista entre 4 e 15 anos. Adicionalmente, examinamos se a variação nos padrões de crescimento e na massa corporal foi influenciada pelo uso de medicamentos psicotrópicos. Métodos: 120 crianças com idades entr
J. Pediatr. (Rio J.). Publicado em: 25/11/2019
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5. Chanter model: nonlinear modeling of the fruit growth of cocoa
RESUMO: O crescimento de plantas e animais pode ser descrito por meio de uma curva. Essa curva é dada pela equação de um modelo não linear, como o modelo Logístico e o modelo Gompertz. O objetivo deste trabalho foi ajustar o modelo Chanter, assim como o Logístico e Gompertz, utilizando um conjunto de dados do fruto do cacaueiro do clone SIAL - 105, cu
Cienc. Rural. Publicado em: 21/10/2019
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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. Partial Volume Prediction Through Nonlinear Mixed Modeling
ABSTRACT The objective of this study was to assess the prediction of partial volumes with nonlinear mixed modeling for Pinus taeda. The volume of 558 trees was measured. The four-parameter logistic model was used in its modified form for the nonlinear mixed approach and, for comparison, the 5th degree polynomial was used. In the mixed modeling, the random ef
Floresta Ambient.. Publicado em: 08/08/2019
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8. Modeling the individual height and volume of two integrated crop-livestock-forest systems of Eucalyptus spp. in the Brazilian Savannah
ABSTRACT. The aim of this study was to model the individual height and volume of eucalyptus wood in two integrated crop-livestock-forest systems (ICLF1 and ICLF2) in Campo Grande, a city in the state of Mato Grosso do Sul, Brazil. Classic nonlinear growth models were adjusted for height (Logistic, Gompertz, Richards, Weibull, Van Bertalanffy, Brody, Mitscher
Acta Sci., Agron.. Publicado em: 28/03/2019
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9. Modeling Bayesian Networks from a conceptual framework for occupational risk analysis
Abstract Occupational risk is the possibility that some element included in a particular work environment can cause damage to someone’s health. Thereby, the risk is understood as the product of probability and consequences. In this sense, risk analysis through probabilistic stochastic techniques, such as Bayesian networks (BN), becomes an important tool to
Prod.. Publicado em: 20/07/2017
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10. Bayesian Analysis for the Comparison of Nonlinear Regression Model Parameters: an Application to the Growth of Japanese Quail
ABSTRACT This paper discusses the Bayesian approach as an alternative to the classical analysis of nonlinear models for growth curve data in Japanese quail. A Bayesian nonlinear modeling method is introduced and compared with the classical nonlinear least squares (NLS) method using three non-linear models that are widely used in modeling the growth data of p
Rev. Bras. Cienc. Avic.. Publicado em: 2016-09
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11. UNCEMENTED ARTHROPLASTY AFTER HIP METASTATIC DISEASE AND MULTIPLE MYELOMA
ABSTRACT Objective: To describe a case series using a combination of narrative, graphical exploratory analysis and Bayesian Network modeling. Methods: Case series with 34 patients undergoing uncemented and hybrid arthroplasty procedures secondary to hip pain or fracture secondary to metastatic disease or multiple myeloma. Results: The most common tumors
Acta ortop. bras.. Publicado em: 2016-08
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12. Spatial modeling of cutaneous leishmaniasis in the Andean region of Colombia
The objective of this research was to identify environmental risk factors for cutaneous leishmaniasis (CL) in Colombia and map high-risk municipalities. The study area was the Colombian Andean region, comprising 715 rural and urban municipalities. We used 10 years of CL surveillance: 2000-2009. We used spatial-temporal analysis - conditional autoregressive P
Mem. Inst. Oswaldo Cruz. Publicado em: 27/06/2016