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Classifcação binária via Bayes Ingênuo: um estudo comparativo de predições
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEstatística - Es, 2023-03-17)
In this undergraduate thesis, we propose a review of the Naive Bayes classifcation
method applied to binary response variables, with a more in-depth formalization of the
Gaussian Naive Bayes and Flexible Naive Bayes ...
Circulation and stratification drivers during the summer season in the upwelling bay of Paracas (Peru): A modelling study
(Elsevier, 2023)
The circulation and stratification in the shallow semi-enclosed bay of Paracas located downstream of the main upwelling cell off the Peruvian coast were studied during the summer season using a regional circulation model ...
Instantaneous Interactions Between Nanoparticles and Tumors Dictated by Bayes Theorem
(IEEE, 2023)
This paper focuses on the process of internalization for nanoparticles that have been sent as part of a scheme of targeted drug delivery. In this manner, it is applied in a straightforward manner the Bayes’s theorem since ...
Procedimentos sequenciais Bayesianos aplicados ao processo de captura-recaptura
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2014-05-30)
In this work, we make a study of the Bayes sequential decision procedure applied to capture-recapture with fixed sample sizes, to estimate the size of a finite and closed population process. We present the statistical ...
HPB: A Model for Handling BN Nodes with High Cardinality Parents
(Microtome PublBrooklineEUA, 2008)
Two new species of Protocirrineris (Polychaeta: Cirratulidae) from Brazil
(Universidad de Costa Rica, 2019)
Joint non-parametric estimation of mean and auto-covariances for Gaussian processes
(ElsevierInternational Association for Statistical ComputingComputational and Methodological StatisticsNL, 2022-05-05)
Gaussian processes that can be decomposed into a smooth mean function and a stationary autocorrelated noise process are considered and a fully automatic nonparametric method to simultaneous estimation of mean and auto-covariance ...