Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Pereira, Carlos A. de B."'
In this work, we propose a modeling procedure for fMRI data analysis using a Bayesian Matrix-Variate Dynamic Linear Model (MVDLM). With this type of model, less complex than the more traditional temporal-spatial models, we are able to take into accou
Externí odkaz:
http://arxiv.org/abs/1910.12058
Autor:
Rodrigues, Agatha, Kerschke, Pascal, Pereira, Carlos Alberto de B., Trautmann, Heike, Wagner, Carolin, Hellingrath, Bernd, Polpo, Adriano
In a system, there are identical replaceable components working for a given task and a failed component is replaced by a functioning one in the corresponding position, which characterizes a repairable system. Assuming that a replaced component lifeti
Externí odkaz:
http://arxiv.org/abs/1807.01269
Akademický článek
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Hypothesis testing in contingency tables is usually based on asymptotic results, thereby restricting its proper use to large samples. To study these tests in small samples, we consider the likelihood ratio test and define an accurate index, the P-val
Externí odkaz:
http://arxiv.org/abs/1611.08862
Microarray gene expression data are analyzed by means of a Bayesian nonparametric model, with emphasis on prediction of future observables, yielding a method for selection of differentially expressed genes and a classifier.
Externí odkaz:
http://arxiv.org/abs/1312.2291
Publikováno v:
Applied Mathematics, v. 05, p. 1633-1640, 2014
This paper presents a hierarchical Bayesian approach to the estimation of components' reliability (survival) using a Weibull model for each of them. The proposed method can be used to estimation with general survival censored data, because the estima
Externí odkaz:
http://arxiv.org/abs/1302.3053
Publikováno v:
Entropy 2016, 18, 357
This work proposes Quor, a simple yet effective nonparametric method to compare independent samples with respect to corresponding quantiles of their populations. The method is solely based on the order statistics of the samples, and independence is i
Externí odkaz:
http://arxiv.org/abs/1212.5405
A tractable nonparametric prior over densities is introduced which is closed under sampling and exhibits proper posterior asymptotics.
Comment: 19 pages; 6 figures
Comment: 19 pages; 6 figures
Externí odkaz:
http://arxiv.org/abs/1209.4947
Most of the statistical tests currently used to detect differentially expressed genes are based on asymptotic results, and perform poorly for low expression tags. Another problem is the common use of a single canonical cutoff for the significance lev
Externí odkaz:
http://arxiv.org/abs/0806.3274
Akademický článek
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