Loss function

Results: 478



#Item
331Econometrics / M-estimators / Regression analysis / Parametric model / Maximum likelihood / Fisher information / Loss function / Linear regression / Consistent estimator / Statistics / Estimation theory / Statistical theory

Statistical Science 2012, Vol. 27, No. 4, 538–557 DOI: [removed]STS400 © Institute of Mathematical Statistics, 2012 A Unified Framework for High-Dimensional

Add to Reading List

Source URL: www.eecs.berkeley.edu

Language: English - Date: 2012-12-21 20:22:51
332Information theory / Decision theory / Econometrics / Loss function / Mutual information / Dimensional analysis / Divergence / Maximum likelihood / Expectation–maximization algorithm / Statistics / Statistical theory / Estimation theory

Privacy Aware Learning 1 John C. Duchi1 Michael I. Jordan1,2

Add to Reading List

Source URL: www.cs.berkeley.edu

Language: English - Date: 2012-11-14 05:48:07
333Divergence / Function / Distribution / Kullback–Leibler divergence / Μ operator / Spectral theory of ordinary differential equations / Mathematical analysis / Mathematics / Statistics

The Annals of Statistics 2009, Vol. 37, No. 2, 876–904 DOI: [removed]AOS595 © Institute of Mathematical Statistics, 2009 ON SURROGATE LOSS FUNCTIONS AND f -DIVERGENCES1

Add to Reading List

Source URL: www.eecs.berkeley.edu

Language: English - Date: 2009-03-18 03:57:45
334M-estimator / Parametric model / Likelihood function / Score / Bootstrapping / Stochastic approximation / Loss function / Big O notation / Maximum likelihood / Statistics / Estimation theory / Fisher information

Communication-Efficient Algorithms for Statistical Optimization 1 Yuchen Zhang1

Add to Reading List

Source URL: www.cs.berkeley.edu

Language: English - Date: 2012-11-14 05:54:22
335Econometrics / Measurement / Decision theory / Loss function / Dimensional analysis / Divergence / Maximum likelihood / Fisher consistency / Statistics / Statistical theory / Estimation theory

Privacy Aware Learning John C. Duchi1 arXiv:1210.2085v2 [stat.ML] 10 Oct[removed]

Add to Reading List

Source URL: arxiv.org

Language: English - Date: 2013-10-10 21:51:01
336Fisher information / Bias of an estimator / M-estimator / Loss function / Maximum likelihood / Fisher consistency / Statistics / Estimation theory / Statistical theory

Journal of Machine Learning Research[removed]3363 Submitted 3/13; Published[removed]Communication-Efficient Algorithms for Statistical Optimization Yuchen Zhang

Add to Reading List

Source URL: jmlr.org

Language: English - Date: 2013-12-09 15:15:53
337Microeconomics / Welfare economics / Taxation / Hicksian demand function / Compensating variation / Deadweight loss / Supply and demand / Economic surplus / Economic equilibrium / Economics / Consumer theory / Demand

NBER WORKING PAPER SERIES THE THEORY OF EXCESS BURDEN AND OPTIMAL TAXATION Alan J. Auerbach

Add to Reading List

Source URL: www.nber.org

Language: English - Date: 2004-06-16 12:29:13
338Human anatomy / Middle cerebral artery / Posterior cerebral artery / Lobe / Basilar artery / Parietal lobe / Temporal lobe / Anterior cerebral artery / Stroke / Brain / Cerebrum / Anatomy

The Brain and Function How Stroke Affects Function A stroke is a loss of function that results from the blood supply to the brain being cut off. The following describe how a stroke affects the function of different areas

Add to Reading List

Source URL: www.strokestrategy.ab.ca

Language: English - Date: 2009-11-02 13:24:36
339Decision theory / Bayes estimator / Loss function / Minimax estimator / Bias of an estimator / Kullback–Leibler divergence / Minimax / Estimator / Hájek–Le Cam convolution theorem / Statistics / Estimation theory / Statistical theory

The asymptotic minimax risk for the estimation of constrained binomial and multinomial probabilities Dietrich Braess Ruhr-Universit¨at Bochum Fakult¨at f¨ ur Mathematik

Add to Reading List

Source URL: homepage.rub.de

Language: English - Date: 2004-07-22 07:34:56
340Estimation theory / Regression analysis / Connection / Optimal design / Dimensional analysis / Fisher information / Loss function / Statistics / Statistical theory / Design of experiments

Submitted to the Annals of Statistics OPTIMAL DISCRIMINATING DESIGNS FOR SEVERAL COMPETING REGRESSION MODELS By Dietrich Braess and Holger Dette Ruhr-Universit¨

Add to Reading List

Source URL: homepage.rub.de

Language: English - Date: 2013-08-05 04:10:56
UPDATE