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of 37
pro vyhledávání: '"Stern, Rafael Bassi"'
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
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
Conditional independence testing is a key problem required by many machine learning and statistics tools. In particular, it is one way of evaluating the usefulness of some features on a supervised prediction problem. We propose a novel conditional in
Externí odkaz:
http://arxiv.org/abs/1908.00105
Although hypothesis tests play a prominent role in Science, their interpretation can be challenging. Three issues are (i) the difficulty in making an assertive decision based on the output of an hypothesis test, (ii) the logical contradictions that o
Externí odkaz:
http://arxiv.org/abs/1904.06605
The quantification problem consists of determining the prevalence of a given label in a target population. However, one often has access to the labels in a sample from the training population but not in the target population. A common assumption in t
Externí odkaz:
http://arxiv.org/abs/1807.03929
Despite its common practice, statistical hypothesis testing presents challenges in interpretation. For instance, in the standard frequentist framework there is no control of the type II error. As a result, the non-rejection of the null hypothesis can
Externí odkaz:
http://arxiv.org/abs/1805.04620
We present two different proofs that positive polynomials on closed boxes of $\mathbb{R}^2$ can be written as bivariate Bernstein polynomials with strictly positive coefficients. Both strategies can be extended to prove the analogous result for polyn
Externí odkaz:
http://arxiv.org/abs/1610.01437
Autor:
Izbicki, Rafael, Stern, Rafael Bassi
Publikováno v:
Izbicki, R., Stern, R. B. "Learning with many experts: Model selection and sparsity." Statistical Analysis and Data Mining 6.6 (2013): 565-577
Experts classifying data are often imprecise. Recently, several models have been proposed to train classifiers using the noisy labels generated by these experts. How to choose between these models? In such situations, the true labels are unavailable.
Externí odkaz:
http://arxiv.org/abs/1405.3292
Publikováno v:
Theory and Decision, 2014. The final publication is available at springerlink.com
The law of maturity is the belief that less-observed events are becoming mature and, therefore, more likely to occur in the future. Previous studies have shown that the assumption of infinite exchangeability contradicts the law of maturity. In partic
Externí odkaz:
http://arxiv.org/abs/1404.6572
De Finetti's betting argument is used to justify finitely additive probabilities when only finitely many bets are considered. Under what circumstances can countably many bets be used to justify countable additivity? In this framework, one faces issue
Externí odkaz:
http://arxiv.org/abs/1303.6981