24 citations · 110 across the 20 of their papers we have counts for
4 papers · 1 filter
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…