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Loss function
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121	LOSS MITIGATION PROGRAM PROCEDURES FOR CASES ASSIGNED TO JUDGE GRANT I. PURPOSE The Loss Mitigation Program is designed to function as a forum for debtors and lenders to reach consensual resolution whenever the debtor’ Add to Reading List Source URL: www.innb.uscourts.gov Language: English - Date: 2013-09-23 09:52:23
122	VISI561_source.nohead.pdf Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2013-11-07 07:12:56 Statistical theory Structured SVM Support vector machine Function Supervised learning Linear classifier Loss function Statistics Statistical classification Machine learning
123	1 Models for the diffusion of beliefs in social networks Christophe Chamley† , Anna Scaglione∗ and Lin Li∗ Boston University, University of California Davis Add to Reading List Source URL: people.bu.edu Language: English - Date: 2014-10-12 20:21:55 Econometrics Statistical inference Decision theory Loss function Estimator Statistics Estimation theory Statistical theory
124	BOP709.tex Bayesian and Adaptive Optimal Policy under Model Uncertainty∗ Lars E.O. Svensson Sveriges Riksbank and Princeton University www.princeton.edu/svensson/ Add to Reading List Source URL: larseosvensson.se Language: English - Date: 2013-07-17 18:49:15 Econometrics JT Product lifecycle management XT Optimal design Bellman equation Loss function Normal distribution Control theory Statistics Statistical theory Regression analysis
125	Learning and Risk Aversion∗ Carlos Oyarzun University of Queensland Rajiv Sarin University of Birmingham Add to Reading List Source URL: www2.warwick.ac.uk Language: English - Date: 2012-02-27 11:46:55 Statistics Financial risk Ethics Knowledge Actuarial science Risk aversion Expected utility hypothesis Stochastic dominance Loss function Utility Risk Decision theory
126	The ABC of Simulation Estimation with Auxiliary Statistics Jean-Jacques Forneron∗ Serena Ng† arXiv:1501.01265v2 [stat.ME] 3 Mar 2015 Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-03-03 21:47:23 M-estimator Extremum estimator Maximum likelihood Bayes estimator Loss function Sufficient statistic Generalized method of moments Parametric model Estimator Statistics Estimation theory Statistical theory
127	Machine Learning in an Auction Environment Patrick Hummel R. Preston McAfee Google Inc. Add to Reading List Source URL: wwwconference.org Language: English - Date: 2014-08-26 00:42:08 Decision theory Econometrics Loss function Statistics Statistical theory Estimation theory
128	Empirical and Policy Performance of a Forward-Looking Monetary Model Alexei Onatski Department of Economics Columbia University e-mail: Add to Reading List Source URL: www.ssc.wisc.edu Language: English - Date: 2008-09-24 02:02:28 Statistical theory New classical macroeconomics Dynamic stochastic general equilibrium Monetary policy Economic model Phillips curve Monetary policy reaction function Inflation Loss function Economics Macroeconomics Statistics
129	High-dimensional statistics: Some progress and challenges ahead Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-06-03 10:26:51 Econometrics Asymptotic theory Linear regression Loss function Estimator Fisher information Maximum likelihood Statistics Estimation theory Statistical theory
130	Submitted to the Statistical Science A unified framework for high-dimensional analysis of M -estimators with decomposable regularizers Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-06-03 10:52:44 Econometrics Statistical inference Regression analysis Maximum likelihood Parametric model Linear regression Consistent estimator Matrix norm Loss function Statistics Estimation theory Statistical theory