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Journal of the American Statistical Association Volume 114, 2019 - Issue 525

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Applications and Case Studies

Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics

Yang NiDepartment of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX

Francesco C. StingoDepartment of Statistics, Computer Science, Applications “G. Parenti”, The University of Florence, Florence, Italy

http://orcid.org/0000-0001-9150-8552

Min Jin HaDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX

Rehan AkbaniDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX

Veerabhadran BaladandayuthapaniDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX

Pages 48-60 | Received 01 May 2017, Published online: 15 Aug 2018

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https://doi.org/10.1080/01621459.2018.1434529
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