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Articles (24)

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1-10 of 24 results for Bayesian lasso regression

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Select article: Bayesian adaptive Lasso quantile regression

Retricted access

Research article

First published 2012-6

Bayesian adaptive Lasso quantile regression

Rahim Alhamzawi, Keming Yu, Dries F Benoit

Statistical Modelling

Select article: Bayesian Adaptive Lasso for Ordinal Regression With Latent Variables

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Research article

First published 2017-11

Bayesian Adaptive Lasso for Ordinal Regression With Latent Variables

Xiang-Nan Feng, Hao-Tian Wu, Xin-Yuan Song

Sociological Methods & Research

Select article: Multiple imputation in the presence of high-dimensional data

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Research article

First published 2016-10

Multiple imputation in the presence of high-dimensional data

Yize Zhao, Qi Long

Statistical Methods in Medical Research

Select article: A Bayesian group lasso classification for ADNI volumetrics data

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Research article

First published 2021-10

A Bayesian group lasso classification for ADNI volumetrics data

Atreyee Majumder, Tapabrata Maiti, Subha Datta

Statistical Methods in Medical Research

Select article: Bayesian tensor logistic regression with applications to neuroimaging data analysis of Alzheimer’s disease

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Research article

First published 2022-12

Bayesian tensor logistic regression with applications to neuroimaging data analysis of Alzheimer’s disease

Ying Wu, Dan Chen, Chaoqian Li [...]

Statistical Methods in Medical Research

Select article: Forecasting college football game outcomes using modern modeling techniques

Open access

Research article

First published 2020-02-27

Forecasting college football game outcomes using modern modeling techniques

Charles South, Edward Egros

Journal of Sports Analytics

Select article: Bayesian semiparametric additive quantile regression

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Research article

First published 2013-6

Bayesian semiparametric additive quantile regression

Elisabeth Waldmann, Thomas Kneib, Yu Ryan Yue [...]

Statistical Modelling

Select article: Dirichlet Lasso: A Bayesian approach to variable selection

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Research article

First published 2015-6

Dirichlet Lasso: A Bayesian approach to variable selection

Kiranmoy Das, Marc Sobel

Statistical Modelling

Select article: Detection of Differential Item Functioning Using the Lasso Approach

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Research article

First published 2015-4

Detection of Differential Item Functioning Using the Lasso Approach

David Magis, Francis Tuerlinckx, Paul De Boeck

Journal of Educational and Behavioral Statistics

Select article: Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival

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Research article

First published 2017-2

Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival

PJ Newcombe, H Raza Ali, FM Blows [...]

Statistical Methods in Medical Research

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