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Communications in Statistics - Simulation and Computation Volume 49, 2020 - Issue 12
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Original Articles

Bayesian estimation of the shrinkage parameter in ridge regression

Luis Firinguetti-LimoneDepartamento de Estadística, Facultad de Ciencias, Universidad del Bío-Bío, ChileCorrespondence[email protected]
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Manuel Pereira-BarahonaDepartamento de Estadística, Facultad de Ciencias, Universidad del Bío-Bío, ChileView further author information
Pages 3314-3327 | Received 20 Dec 2017, Accepted 31 Oct 2018, Published online: 21 Jan 2019

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Read on this site (2)

Fareeha Rashid, Saima Altaf & Muhammad Aslam. (2022) Bayesian estimation of the biasing parameter for ridge regression: A novel approach. Communications in Statistics - Simulation and Computation 51:12, pages 7215-7225.
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Qasim Ramzan, Muhammad Nauman Akram & Muhammad Amin. (2021) Ridge parameter estimation for the linear regression model under different loss functions using T-K approximation. Communications in Statistics - Simulation and Computation 0:0, pages 1-17.
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Articles from other publishers (3)

Min Xu & Zhongfeng Qin. (2023) A Bayesian parametrized method for interval-valued regression models. Statistics and Computing 33:3.
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Linfeng Lyu, Yiming Ding & Yuan Wan. (2023) Model Selection Based on Residual Dependence Measure. IEEE Access 11, pages 56428-56436.
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Fei Yang & Xin Guo. (2022) Research on Rehabilitation Effect Prediction for Patients with SCI Based on Machine Learning. World Neurosurgery 158, pages e662-e674.
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