Wesley Bertoli
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View article: Identifying factors impacting the overall accuracy in image classification problems: a statistical approach
Identifying factors impacting the overall accuracy in image classification problems: a statistical approach Open
Image classification is a subject of pattern recognition that can be applied in several areas. Obtaining highly-accurate classification involves choosing optimal set-ups from which images will be classified. In this process, controllable v…
View article: A New Semiparametric Regression Framework for Analyzing Non-Linear Data
A New Semiparametric Regression Framework for Analyzing Non-Linear Data Open
This work introduces a straightforward framework for semiparametric non-linear models as an alternative to existing non-linear parametric models, whose interpretation primarily depends on biological or physical aspects that are not always …
View article: Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil's COVID-19 data
Modeling epidemic growth curves using nonlinear rational polynomial equations: an application to Brazil's COVID-19 data Open
This paper reports a broad study using epidemic-related counting data of COVID-19 disease caused by the novel coronavirus (SARS-CoV-2). The considered dataset refers to Brazil's daily and accumulated counts of reported cases and deaths in …
View article: A New Regression Model for the Analysis of Overdispersed and Zero-Modified Count Data
A New Regression Model for the Analysis of Overdispersed and Zero-Modified Count Data Open
Count datasets are traditionally analyzed using the ordinary Poisson distribution. However, said model has its applicability limited, as it can be somewhat restrictive to handling specific data structures. In this case, the need arises for…
View article: Whole transcriptomic network analysis using Co-expression Differential Network Analysis (CoDiNA)
Whole transcriptomic network analysis using Co-expression Differential Network Analysis (CoDiNA) Open
Biological and medical sciences are increasingly acknowledging the significance of gene co-expression-networks for investigating complex-systems, phenotypes or diseases. Typically, complex phenotypes are investigated under varying conditio…
View article: A discrete analog of Gumbel distribution: properties, parameter estimation and applications
A discrete analog of Gumbel distribution: properties, parameter estimation and applications Open
A discrete version of the Gumbel distribution (Type-I Extreme Value distribution) has been derived by using the general approach of discretization of a continuous distribution. Important distributional and reliability properties have been …
View article: Two Useful Discrete Distributions to Model Overdispersed Count Data
Two Useful Discrete Distributions to Model Overdispersed Count Data Open
The methods to obtain discrete analogues of continuous distributions have been widely considered in recent years. In general, the discretization process provides probability mass functions that can be competitive with the traditional model…
View article: Bayesian approach for the zero-modified Poisson–Lindley regression model
Bayesian approach for the zero-modified Poisson–Lindley regression model Open
The primary goal of this paper is to introduce the zero-modified Poisson–Lindley regression model as an alternative to model overdispersed count data exhibiting inflation or deflation of zeros in the presence of covariates. The zero-modifi…
View article: A Bayesian approach for some zero-modified Poisson mixture models
A Bayesian approach for some zero-modified Poisson mixture models Open
In this article, we propose a class of zero-modified Poisson mixture models as an alternative to model overdispersed count data exhibiting inflation or deflation of zeros. A relevant feature of this class is that the zero modification can …