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Valid and efficient imprecise-probabilistic inference with partial
  priors, II. General framework
v1v2 (latest)

Valid and efficient imprecise-probabilistic inference with partial priors, II. General framework

26 November 2022
Ryan Martin
ArXiv (abs)PDFHTML

Papers citing "Valid and efficient imprecise-probabilistic inference with partial priors, II. General framework"

16 / 16 papers shown
Title
Conformal Prediction Regions are Imprecise Highest Density Regions
Conformal Prediction Regions are Imprecise Highest Density Regions
Michele Caprio
Yusuf Sale
Eyke Hüllermeier
170
1
0
10 Feb 2025
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Michele Caprio
David Stutz
Shuo Li
Arnaud Doucet
UQCV
208
5
0
07 Nov 2024
A possibility-theoretic solution to Basu's Bayesian--frequentist via
  media
A possibility-theoretic solution to Basu's Bayesian--frequentist via media
Ryan Martin
49
8
0
30 Mar 2023
Fiducial inference viewed through a possibility-theoretic inferential
  model lens
Fiducial inference viewed through a possibility-theoretic inferential model lens
Ryan Martin
FedML
45
12
0
15 Mar 2023
Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy
  sets: general framework and practical models
Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models
Thierry Denoeux
30
35
0
16 Feb 2022
Inferential models and the decision-theoretic implications of the
  validity property
Inferential models and the decision-theoretic implications of the validity property
Ryan Martin
42
11
0
25 Dec 2021
An imprecise-probabilistic characterization of frequentist statistical
  inference
An imprecise-probabilistic characterization of frequentist statistical inference
Ryan Martin
49
56
0
20 Dec 2021
Gibbs posterior inference on a Levy density under discrete sampling
Gibbs posterior inference on a Levy density under discrete sampling
Zhe Wang
Ryan Martin
73
4
0
14 Sep 2021
Inferential models and possibility measures
Inferential models and possibility measures
Chuanhai Liu
Ryan Martin
41
18
0
16 Aug 2020
Validity, consonant plausibility measures, and conformal prediction
Validity, consonant plausibility measures, and conformal prediction
Leonardo Cella
Ryan Martin
43
26
0
24 Jan 2020
Higher order asymptotics of Generalized Fiducial Distribution
Higher order asymptotics of Generalized Fiducial Distribution
A. Majumder
Jan Hannig
FedML
41
11
0
25 Aug 2016
Marginal inferential models: prior-free probabilistic inference on
  interest parameters
Marginal inferential models: prior-free probabilistic inference on interest parameters
Ryan Martin
Chuanhai Liu
66
78
0
13 Jun 2013
A note on p-values interpreted as plausibilities
A note on p-values interpreted as plausibilities
Ryan Martin
Chuanhai Liu
73
64
0
07 Nov 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
69
192
0
18 Jun 2012
The formal definition of reference priors
The formal definition of reference priors
J. Berger
J. Bernardo
Dongchu Sun
101
420
0
01 Apr 2009
A tutorial on conformal prediction
A tutorial on conformal prediction
Glenn Shafer
V. Vovk
452
1,149
0
21 Jun 2007
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