Results 11 to 20 of about 26,331 (262)
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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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
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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
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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
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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
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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
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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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Canadian Journal of Remote Sensing, 2022 Methodologies were developed to classify wetlands (Open Bog, Treed Bog, Open Fen, Treed Fen, and Swamps) from remotely sensed data using advanced classification algorithms through two hierarchical approaches.
Aaron Judah, Baoxin Hu
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An empirical Bayes approach to stochastic blockmodels and graphons: shrinkage estimation and model selection [PDF]
PeerJ Computer Science, 2022 The graphon (W-graph), including the stochastic block model as a special case, has been widely used in modeling and analyzing network data. Estimation of the graphon function has gained a lot of recent research interests.
Zhanhao Peng, Qing Zhou
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