A5010661649- Soil Geostatistics and Mapping
- Spatial and Panel Data Analysis
- Hydrology and Drought Analysis
- Cardiac Valve Diseases and Treatments
- Statistical Methods and Bayesian Inference
- Ecosystem dynamics and resilience
- Capital Investment and Risk Analysis
- Pericarditis and Cardiac Tamponade
- Pregnancy and preeclampsia studies
- Crustacean biology and ecology
- Dialysis and Renal Disease Management
- Cardiac Imaging and Diagnostics
- Marine and fisheries research
- Health and Lifestyle Studies
- Renal Transplantation Outcomes and Treatments
- Infective Endocarditis Diagnosis and Management
- Financial Risk and Volatility Modeling
- Stress Responses and Cortisol
- Transplantation: Methods and Outcomes
- Geography and Environmental Studies
- Gestational Diabetes Research and Management
- Cardiac Structural Anomalies and Repair
- Statistical Methods and Inference
- Birth, Development, and Health
- Mathematical Biology Tumor Growth
Universidade Federal do Rio Grande do Norte
2012-2024
Universidad Independiente
2020
Novay
2016
Universidade Federal do Rio de Janeiro
2008
Climate extreme events are becoming increasingly frequent worldwide, causing floods, drought, forest fires, landslides and heat or cold waves. Several studies have been developed on the assessment of trends in occurrence events. However, most these used traditional models, such as Poisson negative binomial models. Thus, main objective this study is to use a space–time data counting approach modeling number days with precipitation an alternative commonly statistical methods. The area...
OBJETIVO: Avaliar a prevalência de doença arterial coronariana (DAC) na valvopatia etiologia reumática e não-reumática, examinando possíveis fatores preditivos da presença doença. MÉTODOS: Estudo transversal, série casos obtidos em população pré-definida. Foram avaliados 1.412 pacientes com indicação cirurgia cardíaca por qualquer etiologia. Destes, foram encontrados estudados 294 primária etiologias idade > 40 anos, submetidos coronariografia. RESULTADOS: Os valvopatas reumáticos...
El estrés tiene un efecto negativo en la función inmune y respuesta pacientes con enfermedad autoinmune, infecciosa cáncer. Los estudios realizados por los autores latinoamericanos, publicados las bases de datos Scielo Latindex, respaldan está sustentada. Es importante seguir investigando relación entre el sistema inmunológico Latinoamérica para desarrollar estrategias eficaces prevenir tratar enfermedades relacionadas estrés. Sin embargo, hay desafíos limitaciones importantes estudio del...
This paper develops an extension of spatiotemporal models that handle count data using nonhomogeneous Poisson processes. In this new proposal, we incorporate a seasonal cycle component in the definition intensity function to control possible effects produced by occurrence event interest regular periods. The can cause problems estimating shape parameter Weibull and generalized Goel functions. serves confront research hypothesis seeks identify trend rate interest. case function, value...
O Valor Presente Líquido (VPL) é reconhecido como uma métrica fundamental e amplamente adotada na análise financeira de projetos exploração petróleo, dado que a extração em um poço não realizada até exaustão do recurso, mas sim, enquanto for economicamente viável. Devido volatilidade preço barril óleo, decisão interditar poço, mesmo quando ainda contém realidade os custos manutenção superam lucros. Embora o tenha sido extensivamente estudado literatura Engenharia Reservatórios, observa-se...
Abstract In this paper, we present an innovative spatiotemporal model that allows dynamic variation in the spatial correlation structure over time through deformation. We propose temporal deformation occurs smoothly relative to original region. To incorporate idea, employ state space models Generalizing class of based on was driven by need monthly average temperature data southern region Brazil. The distinctive traits region, characterized plateaus and mountain ranges close proximity...
The generalized extreme value (GEV) distribution is known as the limiting result for modeling of maxima blocks size n, which used in events. However, it possible data to present an excessive number zeros when dealing with data, making difficult analyze and estimate these events by using usual GEV distribution. Zero-Inflated Distribution (ZID) widely literature inflated zeros, where inflator parameter w inserted. work aims create a new approach zero-inflated values, that will be applied...
Abstract Objectives: to propose the use of a Bayesian hierarchical model study allometric scaling fetoplacental weight ratio, including possible confounders. Methods: data from 26 singleton pregnancies with gestational age at birth between 37 and 42 weeks were analyzed. The placentas collected immediately after delivery stored under refrigeration until time analysis, which occurred within up 12 hours. Maternal medical records. A was proposed Markov chain Monte Carlo simulation methods used...
Abstract This article proposes a new class of nonhomogeneous Poisson spatiotemporal model. In this approach, we use state‐space model‐based prior distribution to handle the scale and shape parameters Weibull intensity function. The proposed enables inclusion changes in behavior function over time. defining spatial correlation model, include anisotropy via deformation. We estimate model from Bayesian perspective, employ Markov chain Monte Carlo validate estimation procedure through simulation...