Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Stern, Rafael B."'
Autor:
Cabezas, Luben M. C., Soares, Guilherme P., Ramos, Thiago R., Stern, Rafael B., Izbicki, Rafael
Constructing valid confidence sets is a crucial task in statistical inference, yet traditional methods often face challenges when dealing with complex models or limited observed sample sizes. These challenges are frequently encountered in modern appl
Externí odkaz:
http://arxiv.org/abs/2411.19368
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
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
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
Conformal methods create prediction bands that control average coverage assuming solely i.i.d. data. Although the literature has mostly focused on prediction intervals, more general regions can often better represent uncertainty. For instance, a bimo
Externí odkaz:
http://arxiv.org/abs/2007.12778