Search Results - "Saraiva, Erlandson"

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  1. 1

    A Log-Logistic Predictor for Power Generation in Photovoltaic Systems by Souza, Guilherme, Santos, Ricardo, Saraiva, Erlandson

    Published in Energies (Basel) (01-08-2022)
    “…Photovoltaic (PV) systems are dependent on solar irradiation and environmental temperature to achieve their best performance. One of the challenges in the…”
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    Journal Article
  2. 2

    Ventilatory inefficiency during graded exercise in COPD: A pragmatic approach by Muller, Paulo T., Saraiva, Erlandson F.

    Published in Clinical physiology and functional imaging (01-01-2021)
    “…Background/Objective The current approach to measuring ventilatory (in)efficiency (V′E‐V′CO2 slope, nadir and intercept) presents critical drawbacks in the…”
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    Bayesian Computational Methods for Sampling from the Posterior Distribution of a Bivariate Survival Model, Based on AMH Copula in the Presence of Right-Censored Data by Saraiva, Erlandson, Suzuki, Adriano, Milan, Luis

    Published in Entropy (Basel, Switzerland) (27-08-2018)
    “…In this paper, we study the performance of Bayesian computational methods to estimate the parameters of a bivariate survival model based on the Ali–Mikhail–Haq…”
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    Left ventricular diastolic dysfunction and exertional ventilatory inefficiency in COPD by Muller, Paulo T., Utida, Karina A.M., Augusto, Tiago R.L., Spreafico, Marcos V.P., Mustafa, Reiby C., Xavier, Ana W., Saraiva, Erlandson F.

    Published in Respiratory medicine (01-12-2018)
    “…Left ventricular diastolic dysfunction (LVDD) is highly prevalent in COPD and conflicting results have emerged regarding the consequences on exercise capacity…”
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  6. 6

    A Bayesian Approach for Modeling and Forecasting Solar Photovoltaic Power Generation by Flesch, Mariana Villela, de Bragança Pereira, Carlos Alberto, Saraiva, Erlandson Ferreira

    Published in Entropy (Basel, Switzerland) (27-09-2024)
    “…In this paper, we propose a Bayesian approach to estimate the curve of a function f(·) that models the solar power generated at moments per day for days and to…”
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  7. 7

    Clustering Gene Expression Data using a Posterior Split-Merge-Birth Procedure by SARAIVA, ERLANDSON F., MILAN, LUIS A.

    Published in Scandinavian journal of statistics (01-09-2012)
    “…DNA array technology is an important tool for genomic research due to its capacity of measuring simultaneously the expression levels of a great number of genes…”
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  8. 8

    Piecewise Modeling the Accumulated Daily Growth of COVID-19 Deaths: The Case of the State of São Paulo, Brazil by Saraiva, Erlandson Ferreira, de Bragança Pereira, Carlos Alberto

    Published in Entropy (Basel, Switzerland) (04-08-2021)
    “…The pandemic scenery caused by the new coronavirus, called SARS-CoV-2, increased interest in statistical models capable of projecting the evolution of the…”
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  9. 9

    Modeling Overdispersed Dengue Data via Poisson Inverse Gaussian Regression Model: A Case Study in the City of Campo Grande, MS, Brazil by Saraiva, Erlandson Ferreira, Vigas, Valdemiro Piedade, Flesch, Mariana Villela, Gannon, Mark, de Bragança Pereira, Carlos Alberto

    Published in Entropy (Basel, Switzerland) (01-09-2022)
    “…Dengue fever is a tropical disease transmitted mainly by the female Aedes aegypti mosquito that affects millions of people every year. As there is still no…”
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  10. 10

    A Bayesian multiple comparison approach for gene expression data analysis by Saraiva, Erlandson F., Milan, Lu´ıs A.

    Published in Journal of Data Science (06-03-2021)
    “…Methods used to detect differentially expressed genes in situations with one control and one treatment are t-tests. These methods do not per- form well when…”
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    An Integrated Approach for Making Inference on the Number of Clusters in a Mixture Model by Saraiva, Erlandson Ferreira, Suzuki,  Adriano Kamimura, Milan, Luis Aparecido, Pereira, Carlos Alberto de Bragança

    Published in Entropy (Basel, Switzerland) (01-11-2019)
    “…This paper presents an integrated approach for the estimation of the parameters of a mixture model in the context of data clustering. The method is designed to…”
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    Accuracy and Sensitivity of Clinical Parameters in Predicting Successful Extubation in Patients with Acute Brain Injury by Muzette, Flávia Manhani, Lima, Rayssa Bruna Holanda, de Araújo Silva, Jennifer, Comin, Thamara Ferro Balsani, Saraiva, Erlandson Ferreira, Seki, Karla Luciana Magnani, Christofoletti, Gustavo

    Published in Neurology international (25-07-2022)
    “…Background: Brain injuries are frequent causes of intubation and mechanical ventilation. The aim of this study was to investigate the accuracy and sensitivity…”
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  13. 13

    A Bayesian Approach for Decision Making on the Identification of Genes with Different Expression Levels : An Application to Escherichia coli Bacterium Data by Cobre, Juliana, Meira, Silvana, Milan, Luís A., Louzada, Francisco, Saraiva, Erlandson F.

    “…A common interest in gene expression data analysis is to identify from a large pool of candidate genes the genes that present significant changes in expression…”
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  14. 14

    A new ventilatory efficiency index and accuracy for early lung diffusion impairment in non-COPD smokers by Muller, Paulo de Tarso, Orro, Gerson Gatass, Barbosa, Gisele Walter, Saraiva, Erlandson

    Published in Respiratory physiology & neurobiology (01-07-2021)
    “…•Smokers without COPD could manifest impaired lung diffusion capacity (DLco) as the only cause for “close to normal” exercise limitation.•Cardiopulmonary…”
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    A gene-by-gene multiple comparison analysis: A predictive Bayesian approach by Saraiva, Erlandson F., Louzada, Francisco

    “…In this paper, we propose a hierarchical Bayesian framework with a prior Dirichlet process for gene-by-gene multiple comparison analysis. The comparison among…”
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    Mixture models with an unknown number of components via a new posterior split–merge MCMC algorithm by Saraiva, Erlandson F., Louzada, Francisco, Milan, Luis

    Published in Applied mathematics and computation (01-10-2014)
    “…In this paper we introduce a Bayesian analysis for mixture models with an unknown number of components via a new posterior split–merge MCMC algorithm. Our…”
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  17. 17

    A predictive Bayes factor approach to identify genes differentially expressed: An application to Escherichia coli bacterium data by Louzada, Francisco, Saraiva, Erlandson F., Milan, Luis, Cobre, Juliana

    “…Identifying genes differentially expressed between a treatment and a control experimental condition is a common task for gene expression data analysts…”
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