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1-10 of 10 results for hierarchical Bayesian linear regression models

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Select article: Topic-based hierarchical Bayesian linear regression models for niche items recommendation

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Research article

First published 2019-2

Topic-based hierarchical Bayesian linear regression models for niche items recommendation

Yezheng Liu, Qiang Xiong, Jianshan Sun [...]

Journal of Information Science

Select article: A Bayesian hierarchical model for demand curve analysis

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Research article

First published 2018-7

A Bayesian hierarchical model for demand curve analysis

Yen-Yi Ho, Tien Nhu Vo, Haitao Chu [...]

Statistical Methods in Medical Research

Select article: On identification in Bayesian disease mapping and ecological–spatial regression models

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Research article

First published 2014-4

On identification in Bayesian disease mapping and ecological–spatial regression models

Ying C MacNab

Statistical Methods in Medical Research

Select article: WITHDRAWN A Bayesian hierarchical model for demand curve analysis

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Research article

First published 2018-8

WITHDRAWN A Bayesian hierarchical model for demand curve analysis

Yen-Yi Ho, Tien Nhu Vo, Haitao Chu [...]

Statistical Methods in Medical Research

Select article: Bayesian inference for hierarchical mixtures-of-experts with applications to regression and classification

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Research article

First published 1996-12

Bayesian inference for hierarchical mixtures-of-experts with applications to regression and classification

Robert A Jacobs, Martin A Tanner, Fengchun Peng

Statistical Methods in Medical Research

Select article: Weight Smoothing for Generalized Linear Models Using a Laplace Prior

Open access

Research article

First published 2016-6

Weight Smoothing for Generalized Linear Models Using a Laplace Prior

Xi Xia, Michael R. Elliott

Journal of Official Statistics

Select article: Position importance in NCAA football

Open access

Research article

First published 2017-7-1

Position importance in NCAA football

Zachary Knowlton, Gilbert W. Fellingham

Journal of Sports Analytics

Select article: A Bayesian semiparametric approach with change points for spatial ordinal data

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Research article

First published 2016-4

A Bayesian semiparametric approach with change points for spatial ordinal data

Bo Cai, Andrew B Lawson, Suzanne McDermott [...]

Statistical Methods in Medical Research

Select article: Alternatives to default shrinkage methods can improve prediction accuracy,calibration,and coverage: A methods comparison study

Open access

Research article

First published 2025-7

Alternatives to default shrinkage methods can improve prediction accuracy,calibration,and coverage: A methods comparison study

Mark A van de Wiel, Gwenaël GR Leday, Martijn W Heymans [...]

Statistical Methods in Medical Research

Select article: New conditional,scenario-based,and non-conditional cumulative absolute velocity models for subduction tectonic settings

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Research article

First published 2022-2

New conditional,scenario-based,and non-conditional cumulative absolute velocity models for subduction tectonic settings

Chenying Liu, Jorge Macedo

Earthquake Spectra

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