I am an PhD candidate in Statistics at the Interinstitutional Graduate Program in Statistics UFSCar-USP (PIPGES). I obtained bachelor's degree in Statistics at Federal University of São Carlos (2022). I have experience in Probability and Statistics with a focus on Machine Learning. (Source: Lattes Curriculum)
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Most supervised machine learning methods yielda point prediction for a target, $Y \in \sY$,based on features, $\X \in \sX$. Recently, a large body of work in statistics and machine learning has been devoted to develop methods that are able to quantify the uncertainty over point predictions. These go from prediction regions to conditional density estimators and quantile regression methods.…
Clustering methods have the goal of grouping together sample points that have similar properties. Several clustering techniques have been developed. An important question in practice is how to choose which method to use. While several approaches to answer this question have been proposed, they do not focus on hierarchical clustering methods because these do not yield a single partition o…
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