Results 11 to 20 of about 10,224,594 (387)

Confidence distribution (CD) -- distribution estimator of a parameter [PDF]

, 2007
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.
Singh, Kesar, Strawderman, William E., Xie, Minge   +2 more
core   +4 more sources

Individual consistency in the accuracy and distribution of confidence judgments [PDF]

Cognition, 2016
We examine which aspects of the confidence distributions - its shape, its bias toward higher or lower values, and its ability to distinguish correct from erred trials - are idiosyncratic of the who (individual specificity), the when (variability across days) and the what (task specificity).
Pablo Barttfeld, Mariano Sigman, Mariano Sigman, Ariel Zylberberg, Joaquín Ais   +4 more
semanticscholar   +6 more sources

Approximate Confidence Distribution Computing [PDF]

The New England Journal of Statistics in Data Science, 2023
Approximate confidence distribution computing (ACDC) offers a new take on the rapidly developing field of likelihood-free inference from within a frequentist framework. The appeal of this computational method for statistical inference hinges upon the concept of a confidence distribution, a special type of estimator which is defined with respect to the ...
Thornton, Suzanne, Li, W., Xie, M.
openaire   +4 more sources

Predicting with Confidence on Unseen Distributions [PDF]

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
ICCV Camera ready; new scatter plots in supplementary ...
Guillory, Devin, Shankar, Vaishaal, Ebrahimi, Sayna, Darrell, Trevor, Schmidt, Ludwig   +4 more
openaire   +4 more sources

A frequentist framework of inductive reasoning [PDF]

D. R. Bickel, "A frequentist framework of inductive reasoning," Sankhya A 74, 141-169 (2012), 2009
Reacting against the limitation of statistics to decision procedures, R. A. Fisher proposed for inductive reasoning the use of the fiducial distribution, a parameter-space distribution of epistemological probability transferred directly from limiting ...
AM Polansky, AP Dempster, AR Brazzale, AWF Edwards, B Clarke, B Efron, B Efron, B Efron, B Finetti De, D Fraser, D Heath, D Heath, DA Freedman, DA Sprott, DAS Fraser, DAS Fraser, DAS Fraser, DAS Fraser, DAS Fraser, DR Bickel, DR Bickel, DR Bickel, DR Bickel, DR Cox, DV Lindley, G Shafer, GA Barnard, GN Wilkinson, GS Datta, H Scheffe, HE Kyburg, I Hacking, I Hacking, IS Helland, J Cornfield, J Hannig, J Hannig, J Kiefer, J Kohlas, J Robins, J-Y Jaffray, JB Paris, JM Bernardo, JM Bernardo, JO Berger, JO Berger, JT Hwang, K Chaloner, K Singh, LJ Gleser, LJ Savage, M Goldstein, M Goldstein, MCM Troffaes, MJ Schervish, OE Barndorff-nielsen, P Maher, P Mccullagh, P Vos, PH Garthwaite, PM Grundy, PS Craig, R Carnap, R Jeffrey, R Liu, R Royall, R Royall, RA Fisher, RA Fisher, RJ Buehler, SL Zabell, SR Lele, SS Sharma, T Schweder   +73 more
core   +2 more sources

Robust Optimal Operation of Active Distribution Network Based on Minimum Confidence Interval of Distributed Energy Beta Distribution

Journal of Modern Power Systems and Clean Energy, 2021
With the gradual increase of distributed energy penetration, the traditional optimization model of distribution network can no longer guarantee the stable and efficient operation of the distribution network.
Yanhong Luo, Qiubo Nie, Dongsheng Yang, Bowen Zhou   +3 more
doaj   +2 more sources

On the Confidence Interval for the parameter of Poisson Distribution [PDF]

, 2000
The possibility of construction of continuous analogue of Poisson distribution with the search of bounds of confidence intervals for parameter of Poisson distribution is discussed.
Bityukov, S. I., Krasnikov, N. V., Taperechkina, V. A.   +2 more
core   +6 more sources

Using confidence distribution sampling to visualize confidence sets

Statistica Sinica, 2011
This paper presents a new sampling-based methodology designed to fa- cilitate the visual analysis of the confidence sets generated by an inference function such as the likelihood. This methodology generates a sample of parameters from a confidence distribution.
Kim, Daeyoung, Lindsay, Bruce G
openaire   +4 more sources

Symmetric confidence regions and confidence intervals for normal map formulations of stochastic variational inequalities [PDF]

arXiv, 2014
Stochastic variational inequalities (SVI) model a large class of equilibrium problems subject to data uncertainty, and are closely related to stochastic optimization problems.
Lu, Shu
core   +4 more sources

Random sets and exact confidence regions [PDF]

Sankhya A, Volume 76, pages 288--304, 2014, 2013
An important problem in statistics is the construction of confidence regions for unknown parameters. In most cases, asymptotic distribution theory is used to construct confidence regions, so any coverage probability claims only hold approximately, for ...
Martin, Ryan
core   +2 more sources