Results 11 to 20 of about 635,362 (294)
Hierarchical Naive Bayes for genetic association studies [PDF]
BMC Bioinformatics, 2012 Genome Wide Association Studies represent powerful approaches that aim at disentangling the genetic and molecular mechanisms underlying complex traits. The usual "one-SNP-at-the-time" testing strategy cannot capture the multi-factorial nature of this kind of disorders.
Alberto Malovini +3 more
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On minimaxity and admissibility of hierarchical Bayes estimators [PDF]
Journal of Multivariate Analysis, 2007 AbstractThis paper obtains conditions for minimaxity of hierarchical Bayes estimators in the estimation of a mean vector of a multivariate normal distribution. Hierarchical prior distributions with three types of second stage priors are treated. Conditions for admissibility and inadmissibility of the hierarchical Bayes estimators are also derived using
Kubokawa, Tatsuya +1 more
openaire +2 more sources
On a design consistency property of hierarchical Bayes estimators in finite population samplings. [PDF]
, 2007 We obtain a limit of a hierarchical Bayes estimator of a finite population mean when the sample size is large. The limit is in the sense of ordinary calculus, where the sample observations are treated as fixed quantities. Our result suggests a simple way
Lahiri, P, Mukherjee, Kanchan
core +4 more sources
Hierarchical mixtures of naive Bayes classifiers [PDF]
, 2002 Naive Bayes classifiers tend to perform very well on a large number of problem domains, although their representation power is quite limited compared to more sophisticated machine learning algorithms. In this pa- per we study combining multiple naive Bayes classifiers by using the hierar- chical mixtures of experts system.
Intelligente Systemen +2 more
core +6 more sources
Applying Bayes linear methods to support reliability procurement decisions [PDF]
, 2008 Bayesian methods are common in reliability and risk assessment, however, such methods often demand a large amount of specification and can be computationally intensive.
Bedford, Tim +3 more
core +4 more sources
PLoS ONE, 2012 BackgroundOccupational studies often involve multiple comparisons and therefore suffer from false positive findings. Semi-Bayes adjustment methods have sometimes been used to address this issue.
Marine Corbin +9 more
doaj +1 more source
Shrinkage estimates for multi-level heteroscedastic hierarchical normal linear models [PDF]
Journal of Statistical Theory and Applications (JSTA), 2015 Empirical Bayes approach is an attractive method for estimating hyperparameters in hierarchical models. But, under the assumption of normality for a multi-level heteroscedastic hierarchical model, which involves several explanatory variables, the analyst
S.K. Ghoreishi, A. Mostafavinia
doaj +1 more source
Jurnal Matematika UNAND, 2019 Informasi mengenai Tingkat Pengangguran Terbuka (TPT) yang tersedia sampai saat ini hanya bisa diketahui sampai pada tingkat kabupaten. Padahal untuk berbagai tujuan dan kepentingan maka informasi yang memadai yang bisa menjangkau area yang lebih kecil ...
Mia Mauliani +2 more
doaj +1 more source
Hierarchical classification method of electricity consumption industries through TNPE and Bayes
Measurement + Control, 2021 As the multi-daily electricity consumption behaviors have the strong characteristics of dynamicity, nonlinearity and locality caused by temporal manifold structure, the existing methods are difficult to fine-grained and accurately classify it.
Zi-Wen Gu +5 more
doaj +1 more source
Empirical Estimation for Sparse Double-Heteroscedastic Hierarchical Normal Models
Journal of Statistical Theory and Applications (JSTA), 2020 The available heteroscedastic hierarchical models perform well for a wide range of real-world data, but for the data sets which exhibit heteroscedasticity mainly due to the lack of constant means rather than unequal variances, the existing models tend to
Vida Shantia, S. K. Ghoreishi
doaj +1 more source