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M-estimators
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#	Item
131	Microsoft Word - hmm_calc.doc Add to Reading List Source URL: www.robertnz.net Language: English - Date: 2010-02-24 03:25:21 Differential calculus Mathematics M-estimators Statistical theory Maximum likelihood Automatic differentiation Likelihood function Normal distribution Derivative Estimation theory Statistics Mathematical analysis
132	Beaumont_Haziza_Favre_ISI2013.dvi Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Statistical inference M-estimators Econometrics Bias of an estimator Maximum likelihood Sampling Variance Estimator Robust statistics Statistics Estimation theory Statistical theory
133	6.867 Machine learning, lecture 4 (Jaakkola) 1 The Support Vector Machine and regularization We proposed a simple relaxed optimization problem for ﬁnding the maximum margin sep Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 M-estimators Regression analysis Econometrics Maximum likelihood Loss function Likelihood function Logistic function Logistic regression Regularization Statistics Estimation theory Statistical theory
134	Journal of Machine Learning Research1351 Submitted 6/09; Revised 11/09; Published 4/10 Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-04-09 15:08:40 Regression analysis Statistical theory M-estimators Linear regression Maximum likelihood Loss function Supervised learning Poisson regression Nonparametric regression Statistics Econometrics Estimation theory
135	Statistics 582, Problem Set 2 Solutions Wellner; [removed]Consider nonparametric maximum likelihood estimation of F in the right-censored data problem considered in class, but extend the argument to include ties as f Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-21 18:17:12 Maximum likelihood Science Philosophy of science Theorems and definitions in linear algebra Fisher consistency Estimation theory Statistical theory M-estimators
136	The Hobbs Weed Infestation Problem John C. Nash, Telfer School of Management, University of Ottawa, Ottawa, Canada Anders Nielsen, Technical University of Denmark, Charlottenlund, Denmark Ben Bolker, McMaster University, Add to Reading List Source URL: groups.nceas.ucsb.edu Language: English - Date: 2012-09-21 18:43:40 Mathematical optimization Least squares Applied mathematics M-estimators ADMB Free statistical software BFGS method Non-linear least squares Maximum likelihood Statistics Regression analysis Numerical analysis
137	Panel Data estimation using DPD for Ox B Y J URGEN A. D OORNIK1 , M ANUEL A RELLANO2 , AND S TEPHEN B OND3 1 Nuffield College, Oxford, http://www.nuff.ox.ac.uk/users/doornik/ 2 CEMFI, Madrid, http://www.cemfi.es/∼arell Add to Reading List Source URL: www.doornik.com Language: English - Date: 2013-08-12 13:06:04 Regression analysis Statistical inference M-estimators Instrumental variable Estimator Sargan test Least squares Generalized method of moments Variance Statistics Estimation theory Econometrics
138	Smoothed Gradients for Stochastic Variational Inference David Blei Department of Computer Science Department of Statistics Columbia University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Statistical theory M-estimators Operations research Variational Bayesian methods Mathematical optimization Stochastic gradient descent Stochastic optimization Variance Bias of an estimator Statistics Probability theory Estimation theory
139	Consensus ranking under the exponential model Marina Meil˘a Department of Statistics University of Washington Seattle, WA 98195 Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2007-05-28 20:17:50 M-estimators Symbol Maximum likelihood Permutation Algebra Permutation pattern Mathematics Combinatorics Estimation theory
140	Comparison of Optimal Location Estimators by Friedrich-Wilhelm Scholz Grad. (University of G¨ ottingen) 1965 Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 1998-04-21 09:06:24 Statistical inference M-estimators Robust statistics Estimator Invariant estimator Maximum likelihood Efficiency Normal distribution Variance Statistics Estimation theory Statistical theory

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