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Communications in Statistics - Simulation and Computation Volume 51, 2022 - Issue 12
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Articles

Bayesian estimation of the biasing parameter for ridge regression: A novel approach

Fareeha RashidDepartment of Statistics, Bahauddin Zakariya University, Multan, Pakistan
,
Saima AltafDepartment of Statistics, Bahauddin Zakariya University, Multan, PakistanCorrespondence[email protected]
&
Muhammad AslamDepartment of Statistics, Bahauddin Zakariya University, Multan, PakistanORCID Iconhttps://orcid.org/0000-0003-2290-2307
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Pages 7215-7225 | Received 26 Apr 2020, Accepted 18 Sep 2020, Published online: 07 Oct 2020

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Sergio Pérez-Elizalde, Blanca E. Monroy-Castillo, Paulino Pérez-Rodríguez & José Crossa. (2022) HDBRR: a statistical package for high-dimensional Bayesian ridge regression without MCMC. Journal of Statistical Computation and Simulation 92:17, pages 3679-3705.
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Articles from other publishers (1)

Linfeng Lyu, Yiming Ding & Yuan Wan. (2023) Model Selection Based on Residual Dependence Measure. IEEE Access 11, pages 56428-56436.
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