Confidence distribution (CD) -- distribution estimator of a parameter
arXiv:0708.0976 · doi:10.1214/074921707000000102
Abstract
The notion of confidence distribution (CD), an entirely frequentist concept, is in essence a Neymanian interpretation of Fisher's Fiducial distribution. It contains information related to every kind of frequentist inference. In this article, a CD is viewed as a distribution estimator of a parameter. This leads naturally to consideration of the information contained in CD, comparison of CDs and optimal CDs, and connection of the CD concept to the (profile) likelihood function. A formal development of a multiparameter CD is also presented.
Published at http://dx.doi.org/10.1214/074921707000000102 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)
References in corpus (1)
Cited by in corpus (11)
- Semantic and Cognitive Tools to Aid Statistical Science: Replace Confidence and Significance by Compatibility and Surprise
- Prediction intervals for random-effects meta-analysis: a confidence distribution approach
- Incorporating external information in analyses of clinical trials with binary outcomes
- On an inferential model construction using generalized associations
- Coherent frequentism
- Bridging Bayesian, frequentist and fiducial (BFF) inferences using confidence distribution
- Discussion of "Is Bayes Posterior just Quick and Dirty Confidence?" by D. A. S. Fraser
- Blending Bayesian and frequentist methods according to the precision of prior information with an application to hypothesis testing
- AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors
- Singhing with Confidence: Visualising the Performance of Confidence Structures
- Rejoinder to "Multiple Testing for Exploratory Research"