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pro vyhledávání: '"Stern, Rafael"'
The Full Bayesian Significance Test (FBST) possesses many desirable aspects, such as not requiring a non-zero prior probability for hypotheses while also producing a measure of evidence for $H_0$. Still, few attempts have been made to bring the FBST
Externí odkaz:
http://arxiv.org/abs/2406.15608
Instead of testing solely a precise hypothesis, it is often useful to enlarge it with alternatives that are deemed to differ from it negligibly. For instance, in a bioequivalence study one might consider the hypothesis that the concentration of an in
Externí odkaz:
http://arxiv.org/abs/2403.05655
Predictive models make mistakes. Hence, there is a need to quantify the uncertainty associated with their predictions. Conformal inference has emerged as a powerful tool to create statistically valid prediction regions around point predictions, but i
Externí odkaz:
http://arxiv.org/abs/2402.07357
Autor:
Izbicki, Rafael, Cabezas, Luben M. C., Colugnatti, Fernando A. B., Lassance, Rodrigo F. L., de Souza, Altay A. L., Stern, Rafael B.
While Null Hypothesis Significance Testing (NHST) remains a widely used statistical tool, it suffers from several shortcomings, such as conflating statistical and practical significance, sensitivity to sample size, and the inability to distinguish be
Externí odkaz:
http://arxiv.org/abs/2308.09112
This paper introduces FlexCodeTS, a new conditional density estimator for time series. FlexCodeTS is a flexible nonparametric conditional density estimator, which can be based on an arbitrary regression method. It is shown that FlexCodeTS inherits th
Externí odkaz:
http://arxiv.org/abs/2301.09671
Autor:
Stern, Julio Michael, Pereira, Carlos Alberto de Braganca, Lauretto, Marcelo de Souza, Esteves, Luis Gustavo, Izbicki, Rafael, Stern, Rafael Bassi, Diniz, Marcio Alves, Borges, Wagner de Souza
This article gives a conceptual review of the e-value, ev(H|X) -- the epistemic value of hypothesis H given observations X. This statistical significance measure was developed in order to allow logically coherent and consistent tests of hypotheses, i
Externí odkaz:
http://arxiv.org/abs/2205.08010
This paper studies whether Bayesian simultaneous three-way hypothesis tests can be logically coherent. Two types of results are obtained. First, under the standard error-wise constant loss, only for a limited set of models can a Bayes simultaneous te
Externí odkaz:
http://arxiv.org/abs/2204.01495
Publikováno v:
In Information Sciences January 2025 686
Autor:
Stern, Rafael Bassi
O objetivo principal deste trabalho foi analisar o controverso conceito de informação em estatística. Para tal, primeiramente foi estudado o conceito de informação dado por Basu. A seguir, a análise foi dividida em três partes: informação no
We propose methods for the analysis of hierarchical clustering that fully use the multi-resolution structure provided by a dendrogram. Specifically, we propose a loss for choosing between clustering methods, a feature importance score and a graphical
Externí odkaz:
http://arxiv.org/abs/2112.01372