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Multivariate Limited Translation Hierarchical Bayes Estimators. [PDF]
J Multivar Anal, 2009 Based on the notion of predictive influence functions, the paper develops multivariate limited translation hierarchical Bayes estimators of the normal mean vector which serve as a compromise between the hierarchical Bayes and maximum likelihood estimators.
Ghosh M, Papageorgiou G, Forrester J.
europepmc +8 more sources
Classification using Hierarchical Naïve Bayes models [PDF]
Machine Learning, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Helge Langseth, Thomas Dyhre Nielsen
exaly +8 more sources
Hierarchical Bayes Approach to Estimate the Treatment Effect for Randomized Controlled Trials [PDF]
Educational and Psychological Measurement, 2020 Akihito Kamata, Xinya Liang
exaly +2 more sources
Bayes Factors for Comparison of Two-Way ANOVA Models
Journal of Statistical Theory and Applications (JSTA), 2021 In the traditional two-way analysis of variance (ANOVA) model, it is possible to identify the significance of both the main effects and their interaction based on the P values.
R. Vijayaragunathan, M. R. Srinivasan
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Jurnal Matematika UNAND, 2020 Kusta adalah penyakit infeksi kronis yang disebabkan oleh bakteri yang disebut Mycrobacterium leprae yang menyerang saraf tepi, kulit dan jaringan tubuh lainnya. Kusta memiliki dua tipe yaitu kusta kering dan kusta basah.
NADIA HUSNA +2 more
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Barekeng, 2021 Kebijakan pengentasan kemiskinan pada pemerintahan presiden Ir. H. Joko Widodo dilakukan melalui empat strategi kunci yang salah satunya adalah pemberdayaan kelompok masyarakat miskin.
I Komang Gde Sukarsa, I. G. K Gandhiadi
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A Hierarchical Bayes Ensemble Kalman Filter [PDF]
Physica D: Nonlinear Phenomena, 2017 A new ensemble filter that allows for the uncertainty in the prior distribution is proposed and tested. The filter relies on the conditional Gaussian distribution of the state given the model-error and predictability-error covariance matrices. The latter are treated as random matrices and updated in a hierarchical Bayes scheme along with the state. The
Michael Tsyrulnikov, Alexander Rakitko
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Hierarchical Attribute Reduction Model for Intrusion Detection Based on Cultural Algorithm [PDF]
Jisuanji gongcheng, 2017 In order to distinguish detection attack categories pertinently and improve the classification accuracy of Intrusion Detection System (IDS),a hierarchical attributes reduction model used for IDS is proposed.This model reduces attributes by adopting dual ...
SHEN Yuan,GAO Ling,GAO Ni,WANG Fan
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A STUDY OF GENERALIZED LINEAR MIXED MODEL FOR COUNT DATA USING HIERARCHICAL BAYES METHOD
Media Statistika, 2022 Poisson Log-Normal Model is one of the hierarchical mixed models that can be used for count data. Several estimation methods can be used to estimate the model parameters.
Etis Sunandi +2 more
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Economic Analysis of Charitable Donations
Journal of Marketing and Consumer Behaviour in Emerging Markets, 2016 This paper examines the effect of message characteristics on donation behavior using an economic model of giving. The utility of giving can come from one’s own contribution and possibly from the combined contributions of others.
Moon Young Kang +4 more
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