Bayesian Nonparametric Inference Why and How Comment

被引：0
|
作者：
Aitkin, Murray [1 ]
Polak, Julia [2 ]
机构：
[1] Univ Melbourne, Dept Math & Stat, Melbourne, Vic, Australia
[2] Univ Melbourne, Ctr Mol Environm Genet & Analyt Epidemiol MEGA, Melbourne, Vic, Australia
来源：
BAYESIAN ANALYSIS | 2013年 / 8卷 / 02期
关键词：
D O I：
10.1214/13-BA811D
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
Muller and Mitra have given us a superb paper, eloquently arguing for the many applications of Bayesian nonparametric (BNP) methods. There is no doubt that such techniques have enormous value in a wide range of contexts. I want to raise two linked areas of quite general concern, but these should not be read as detracting in any way from the quality and importance of this paper.
引用
收藏
页码：323 / 325
页数：3
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