Bayesian linear regression models with flexible error distributions

Nívea B. da Silvaa Department of Statistics, Federal University of Bahia, Salvador, BrazilCorrespondence[email protected]

https://orcid.org/0000-0002-4472-6829 View further author information

Marcos O. Pratesb Department of Statistics, Federal University of Minas Gerais, Belo Horizonte, Brazil

https://orcid.org/0000-0001-8077-4898 View further author information

Flávio B. Gonçalvesb Department of Statistics, Federal University of Minas Gerais, Belo Horizonte, Brazil

https://orcid.org/0000-0001-6431-7048 View further author information

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Yasuyuki Hamura, Kaoru Irie & Shonosuke Sugasawa. (2023) On Data Augmentation for Models Involving Reciprocal Gamma Functions. Journal of Computational and Graphical Statistics 32:3, pages 908-916.
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Yasuyuki Hamura, Kaoru Irie & Shonosuke Sugasawa. (2024) Posterior robustness with milder conditions: Contamination models revisited. Statistics & Probability Letters 210, pages 110130.
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Muyuan Liu, Jing Hu, Yuzhou Huang, Junyu He, Kokoette Effiong, Tao Tang, Shitao Huang, Yuvna Devi Perianen, Feier Wang, Ming Li & Xi Xiao. (2023) Probabilistic prediction of algal blooms from basic water quality parameters by Bayesian scale-mixture of skew-normal model. Environmental Research Letters 18:1, pages 014034.
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Yasuyuki Hamura, Kaoru Irie & Shonosuke Sugasawa. (2022) Log-regularly varying scale mixture of normals for robust regression. Computational Statistics & Data Analysis 173, pages 107517.
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Bayesian linear regression models with flexible error distributions

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Bayesian linear regression models with flexible error distributions

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