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False confidence, non-additive beliefs, and valid statistical inference

False confidence, non-additive beliefs, and valid statistical inference

18 July 2016
Ryan Martin
ArXivPDFHTML

Papers citing "False confidence, non-additive beliefs, and valid statistical inference"

19 / 19 papers shown
Title
Decision-Making with Belief Functions: a Review
Decision-Making with Belief Functions: a Review
Thierry Denoeux
23
150
0
16 Aug 2018
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss, and
  Simpson's Paradox
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss, and Simpson's Paradox
Ruobin Gong
Xiangxu Meng
10
37
0
24 Dec 2017
A mathematical characterization of confidence as valid belief
A mathematical characterization of confidence as valid belief
Ryan Martin
17
6
0
03 Jul 2017
Satellite conjunction analysis and the false confidence theorem
Satellite conjunction analysis and the false confidence theorem
M. Balch
Ryan Martin
S. Ferson
18
82
0
26 Jun 2017
Impossible Inference in Econometrics: Theory and Applications
Impossible Inference in Econometrics: Theory and Applications
Marinho Bertanha
Marcelo J. Moreira
40
26
0
06 Dec 2016
Gibbs posterior inference on the minimum clinically important difference
Gibbs posterior inference on the minimum clinically important difference
Nicholas Syring
Ryan Martin
44
17
0
08 Jan 2015
Valid uncertainty quantification about the model in a linear regression
  setting
Valid uncertainty quantification about the model in a linear regression setting
Ryan Martin
Huiping Xu
Zuoyi Zhang
Chuanhai Liu
38
3
0
16 Dec 2014
Frameworks for prior-free posterior probabilistic inference
Frameworks for prior-free posterior probabilistic inference
Chuanhai Liu
Ryan Martin
TPM
39
23
0
30 Jul 2014
Exact prior-free probabilistic inference on the heritability coefficient
  in a linear mixed model
Exact prior-free probabilistic inference on the heritability coefficient in a linear mixed model
Q. Cheng
Xu Gao
Ryan Martin
37
13
0
13 Jun 2014
Prior-free probabilistic prediction of future observations
Prior-free probabilistic prediction of future observations
Ryan Martin
Rama T. Lingham
AI4TS
33
33
0
29 Mar 2014
Discussion: Foundations of Statistical Inference, Revisited
Discussion: Foundations of Statistical Inference, Revisited
Ryan Martin
Chuanhai Liu
41
12
0
27 Dec 2013
Marginal inferential models: prior-free probabilistic inference on
  interest parameters
Marginal inferential models: prior-free probabilistic inference on interest parameters
Ryan Martin
Chuanhai Liu
47
77
0
13 Jun 2013
Asymptotically minimax empirical Bayes estimation of a sparse normal
  mean vector
Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector
Ryan Martin
S. Walker
46
65
0
27 Apr 2013
What does the proof of Birnbaum's theorem prove?
What does the proof of Birnbaum's theorem prove?
M. Evans
40
20
0
22 Feb 2013
A note on p-values interpreted as plausibilities
A note on p-values interpreted as plausibilities
Ryan Martin
Chuanhai Liu
58
64
0
07 Nov 2012
Conditional inferential models: combining information for prior-free
  probabilistic inference
Conditional inferential models: combining information for prior-free probabilistic inference
Ryan Martin
Chuanhai Liu
TPM
AI4CE
47
76
0
07 Nov 2012
Optimal inferential models for a Poisson mean
Optimal inferential models for a Poisson mean
Ryan Martin
D. Leaf
Chuanhai Liu
39
5
0
30 Jun 2012
Inferential models: A framework for prior-free posterior probabilistic
  inference
Inferential models: A framework for prior-free posterior probabilistic inference
Ryan Martin
Chuanhai Liu
43
190
0
18 Jun 2012
The formal definition of reference priors
The formal definition of reference priors
J. Berger
J. Bernardo
Dongchu Sun
67
419
0
01 Apr 2009
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