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Bayesian predictive densities for linear regression models under
  alpha-divergence loss: some results and open problems

Bayesian predictive densities for linear regression models under alpha-divergence loss: some results and open problems

19 February 2010
Yuzo Maruyama
W. Strawderman
ArXiv (abs)PDFHTML

Papers citing "Bayesian predictive densities for linear regression models under alpha-divergence loss: some results and open problems"

6 / 6 papers shown
Generalized Bayes Estimators with Closed forms for the Normal Mean and
  Covariance Matrices
Generalized Bayes Estimators with Closed forms for the Normal Mean and Covariance MatricesJournal of Statistical Planning and Inference (JSPI), 2021
Ryota Yuasa
T. Kubokawa
126
5
0
13 Aug 2021
Minimax Predictive Density for Sparse Count Data
Minimax Predictive Density for Sparse Count Data
Keisuke Yano
Ryoya Kaneko
F. Komaki
375
1
0
14 Dec 2018
On Predictive Density Estimation under $α$-divergence Loss
On Predictive Density Estimation under ααα-divergence Loss
Aziz L'Moudden
Éric Marchand
213
6
0
07 Jun 2018
On predictive density estimation with additional information
On predictive density estimation with additional information
Éric Marchand
Abdolnasser Sadeghkhani
151
11
0
22 Sep 2017
Harmonic Bayesian prediction under alpha-divergence
Harmonic Bayesian prediction under alpha-divergence
Yuzo Maruyama
Toshio Ohnishi
349
6
0
19 May 2016
Inadmissibility of the best equivariant predictive density in the
  unknown variance case
Inadmissibility of the best equivariant predictive density in the unknown variance case
Aurélie Boisbunon
Yuzo Maruyama
199
13
0
13 Aug 2013
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