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Loss function
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#	Item
371	Evaluating Design Choices in Economic Capital Modeling: A Loss Function Approach Add to Reading List Source URL: www.occ.gov Language: English - Date: 2014-09-07 08:44:10 Financial risk Estimation theory Statistical theory Actuarial science Investment Loss given default Bias of an estimator Mean squared error Estimator Statistics Economics Financial economics
372	Active Learning for Hidden Markov Models: Objective Functions and Algorithms Brigham Anderson Andrew Moore Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA[removed]USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:33 Probability and statistics Markov models Information theory Estimation theory Philosophy of thermal and statistical physics Entropy Kullback–Leibler divergence Hidden Markov model Loss function Statistics Statistical theory Software
373	Work Group Meeting #1 – [removed]State Loss Prevention Plan – Employment Practices Meeting minutes The work group began the meeting with each member describing who they are and their function within their agency. Atte Add to Reading List Source URL: www.hr.wa.gov Language: English - Date: 2014-06-06 12:41:20 Public safety Risk management Project management Security Risk Insurance Emergency management Employment Management Actuarial science Ethics
374	BAYESIAN STATISTICS 9 J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West (Eds.) c Oxford University Press, 2010 Add to Reading List Source URL: errorstatistics.files.wordpress.com Language: English - Date: 2014-01-15 23:27:08 Loss function Bayes estimator Consistent estimator Kullback–Leibler divergence Likelihood function Sufficient statistic Maximum likelihood Statistics Statistical theory Estimation theory
375	Modeling Latent Variable Uncertainty for Loss-based Learning M. Pawan Kumar [removed] ´ Center for Visual Computing, Ecole Centrale Paris, France Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:58 Estimation theory Expectation–maximization algorithm Maximum likelihood Latent variable model Loss function Latent variable Kullback–Leibler divergence Statistics Statistical models Statistical theory
376	Statistical linear estimation with penalized estimators: an application to reinforcement learning ´ Bernardo Avila Pires Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:34 Decision theory Econometrics Loss function Maximum spacing estimation Statistics Statistical theory Estimation theory
377	A Bayesian Approach to Optimal Monetary Policy with Parameter and Model Uncertainty∗ Timothy Cogley,†Bianca De Paoli,‡Christian Matthes,§ Kalin Nikolov,¶and Tony Yatesk July 2009 Add to Reading List Source URL: gcoe.ier.hit-u.ac.jp Language: English - Date: 2010-01-07 20:00:35 Economics Statistical theory New Keynesian economics Statistical inference Prior probability Dynamic stochastic general equilibrium Loss function Bayesian inference Economic model Statistics Macroeconomics Bayesian statistics
378	P2: ABC JWST177-Lesaffre June 4, [removed]:32 Add to Reading List Source URL: media.wiley.com Language: English - Date: 2013-09-01 13:13:10 Bayes factor Statistical inference Bayesian linear regression Loss function Bayesian network Empirical Bayes method Bayesian VAR Gibbs sampling Prior probability Statistics Bayesian statistics Bayesian inference
379	Reply to the discussion David Spiegelhalter, Nicky Best, Brad Carlin and Angelika van der Linde Revised May 3rd, 2002 We thank all the contributors for their wide-ranging and provocative discussion. Our reply is organise Add to Reading List Source URL: www.biostat.umn.edu Language: English - Date: 2006-11-16 18:16:54 Bayesian inference Model selection Estimation theory Prior probability Bayes factor Bayes estimator Akaike information criterion Loss function Mixture model Statistics Bayesian statistics Statistical theory
380	Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss Shai Ben-David University of Waterloo David Loker Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:54 Machine learning Mathematical optimization Hinge loss Convex function Convex optimization Perceptron Support vector machine Loss function Linear prediction Statistics Statistical classification Convex analysis

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