<--- Back to Details
First PageDocument Content
Statistical inference / Bayesian inference / Estimation theory / Admissible decision rule / Minimax estimator / Detection theory / Bayes estimator / Loss function / Prior probability / Statistics / Decision theory / Bayesian statistics
Date: 2012-08-21 15:39:32
Statistical inference
Bayesian inference
Estimation theory
Admissible decision rule
Minimax estimator
Detection theory
Bayes estimator
Loss function
Prior probability
Statistics
Decision theory
Bayesian statistics

Microsoft Word - Review.DecTheory.R12.doc

Add to Reading List

Source URL: psych.nyu.edu

Download Document from Source Website

File Size: 1,44 MB

Share Document on Facebook

Similar Documents

Statistical inference / Bayesian inference / Estimation theory / Admissible decision rule / Minimax estimator / Detection theory / Bayes estimator / Loss function / Prior probability / Statistics / Decision theory / Bayesian statistics

Microsoft Word - Review.DecTheory.R12.doc

DocID: 1fDa6 - View Document

Statistical inference / M-estimators / Combinatorics / Maximum likelihood / Consistent estimator / Permutation / Normal distribution / Permutation pattern / Statistics / Estimation theory / Statistical theory

Permutation estimation and minimax rates of identifiability Olivier Collier IMAGINE, Université Paris-Est hal, versionFeb 2013

DocID: 1aGsf - View Document

Machine learning / Expectation–maximization algorithm / Errors-in-variables models / Estimator / Kernel density estimation / M-estimator / Minimax estimator / Statistics / Estimation theory / Maximum likelihood

Chapter 1 Rise of the Machines Larry Wasserman On the 50th anniversary of the Committee of Presidents of Statistical Societies I reflect on the rise of the field of Machine Learning and what it means

DocID: 19dJw - View Document

Decision theory / Minimax estimator / Covariance / Statistics / Estimation theory / Statistical theory

arXiv:1503.09084v1 [math.NA] 29 MarPinsker estimators for local helioseismology Damien Fournier1 , Laurent Gizon2,3 , Thorsten Hohage1 , Martin Holzke1 1

DocID: 187Jx - View Document

Statistical theory / Statistical inference / Mathematics / M-estimators / Maximum likelihood / Monotonic function / Bayes estimator / Consistent estimator / Convex function / Estimation theory / Mathematical analysis / Statistics

45 Statistica NeerlandicaVol. 64, nr. 1, pp. 45–70 doi:j00438.x Estimation of a k -monotone density: characterizations, consistency and minimax

DocID: 17Si5 - View Document