arrow
返回

Comment: Settle the Unsettling: An Inferential Models Perspective

delete2021-04-01
delete2
PRE
AI
C
Chuanhai Liu *
R
Ryan Martin
DOI:10.1214/21-STS765Bdelete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Here, we demonstrate that the inferential model (IM) framework, unlike the updating rules that Gong and Meng show to be unreliable, provides valid and efficient inferences/prediction while not being susceptible to sure loss. In this sense, the IM framework settles what Gong and Meng characterized as unsettling.
Keyword:
Belief function
efficiency
lower and upper probability
inferential models
validity

期刊

Statistical Science 封面图
Statistical Science
IF:
3.4
论文数:
1.0K
被引数:
8.7K

机构

Purdue University System 封面图
Purdue University System
学者数:
4.0W
论文数: 3.6W
被引数: 66
P
Purdue University
学者数:
2.7W
论文数: 2.1W
被引数: 147
引用论文

引用论文

没有更多内容