24 citations · 110 across the 20 of their papers we have counts for
23 papers
Conformal Calibration of Statistical Confidence Sets
Luben M. C. Cabezas, Guilherme P. Soares, Thiago R. Ramos +2
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 sa…
Nonparametric FBST for Validating Linear Models
Rodrigo F. L. Lassance, Julio M. Stern, Rafael B. Stern
The Full Bayesian Significance Test (FBST) possesses many desirable aspects, such as dismissing the need for hypotheses to have positive prior probability and providing a measure o…
PROTEST: Nonparametric Testing of Hypotheses Enhanced by Experts' Utility Judgements
Rodrigo F. L. Lassance, Rafael Izbicki, Rafael B. Stern
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 s…
Regression Trees for Fast and Adaptive Prediction Intervals
Luben M. C. Cabezas, Mateus P. Otto, Rafael Izbicki +1
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…
REACT to NHST: Sensible conclusions to meaningful hypotheses
Rafael Izbicki, Luben M. C. Cabezas, Fernando A. B. Colugnatti +3
While Null Hypothesis Significance Testing (NHST) remains a widely used statistical tool, it suffers from several shortcomings in its common usage, such as conflating statistical a…
Flexible conditional density estimation for time series
Gustavo Grivol, Rafael Izbicki, Alex A. Okuno +1
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 a…