Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Stern, Julio Michael"'
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, Julio Michael, Simplicio, Marcos Antonio, Silva, Marcos Vinicius M., Pfeiffer, Roberto A. Castellanos
Randomization procedures are used in legal and statistical applications, aiming to shield important decisions from spurious influences. This article gives an intuitive introduction to randomization and examines some intended consequences of its use r
Externí odkaz:
http://arxiv.org/abs/2008.06709
Publikováno v:
Entropy 2020, 22(9), 968, 1-23
To perform statistical inference for time series, one should be able to assess if they present deterministic or stochastic trends. For univariate analysis one way to detect stochastic trends is to test if the series has unit roots, and for multivaria
Externí odkaz:
http://arxiv.org/abs/2006.04499
Autor:
Kelter, Riko, Stern, Julio Michael
Hypothesis testing is a central statistical method in psychological research and the cognitive sciences. While the problems of null hypothesis significance testing (NHST) have been debated widely, few attractive alternatives exist. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2006.03334
Autor:
Silva, Marcos Vinicius M., Simplicio Jr., Marcos Antonio, Pfeiffer, Roberto Augusto Castellanos, Stern, Julio Michael
Many real-world scenarios require the random selection of one or more individuals from a pool of eligible candidates. One example of especial social relevance refers to the legal system, in which the jurors and judges are commonly picked according to
Externí odkaz:
http://arxiv.org/abs/2006.02956
Autor:
Stern, Julio Michael, Pereira, Carlos Alberto de Braganca, Ribeiro, Celma de Oliveira, Dunder, Cibele, Nakano, Fabio, Lauretto, Marcelo
Optimization and Stochastic Processes Applied to Economy and Finance -- is the name of this book translated to English; It has been used at the IME-USP - The Institute of Mathematics and Statistics of the University of Sao Paulo, since 1993. Contents
Externí odkaz:
http://arxiv.org/abs/2005.13459
This article gives a survey of the e-value, a statistical significance measure a.k.a. the evidence rendered by observational data, X, in support of a statistical hypothesis, H, or, the other way around, the epistemic value of H given X. The $e$-value
Externí odkaz:
http://arxiv.org/abs/2001.10577
Autor:
Stern, Julio Michael
Publikováno v:
Principia, 24, 2, 255-297 (2020)
This article explores the metaphor of Science as provider of sharp images of our environment, using the epistemological framework of Objective Cognitive Constructivism. These sharp images are conveyed by precise scientific hypotheses that, in turn, a
Externí odkaz:
http://arxiv.org/abs/2001.09973
Autor:
Stern, Julio Michael
Publikováno v:
South American Journal of Logic, v.4, n.1, pp.219-252, 2018
Karl Pearson is the leading figure of XX century statistics. He and his co-workers crafted the core of the theory, methods and language of frequentist or classical statistics -- the prevalent inductive logic of contemporary science. However, before w
Externí odkaz:
http://arxiv.org/abs/1908.06346
Autor:
Saa, Olivia, Stern, Julio Michael
Publikováno v:
MaxEnt 2019 - Proceedings of the 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany, 30 June - 5 July 2019
Randomization is an integral part of well-designed statistical trials, and is also a required procedure in legal systems, see Marcondes et al. (2019) This paper presents an easy to implement randomization protocol that assures, in a formal mathematic
Externí odkaz:
http://arxiv.org/abs/1904.09500