A flexible Bayesian variable selection approach for modeling interval data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s10260-023-00727-9.pdf
Reference20 articles.
1. Ahn J, Peng M, Park C, Jeon Y (2012) A resampling approach for interval-valued data regression. Stat Anal Data Min ASA Data Sci J 5(4):36–348
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3. Brooks SP, Gelman A (1998) General methods for monitoring convergence of iterative simulations. J Comput Graph Stat 7(4):434–455
4. Carvalho CM, Polson NG, Scott JG (2010) The horseshoe estimator for sparse signals. Biometrika 97(2):465–480
5. Das K, Ghosh P, Daniels MJ (2021) Modeling multiple time-varying related groups: a dynamic hierarchical Bayesian approach with an application to the health and retirement study. J Am Stat Assoc 116(534):558–568
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