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M-estimators
Results: 330

#	Item
71	On Estimation of Functional Causal Models: Post-Nonlinear Causal Model as an Example Kun Zhang, Zhikun Wang, Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2014-01-15 07:09:56 Statistical theory M-estimators Information theory Additive white Gaussian noise Maximum likelihood Mutual information Expectation–maximization algorithm Regression analysis Log-normal distribution Statistics Estimation theory Econometrics
72	IEEE SIGNAL PROCESSING LETTERS, VOL. 16, NO. 6, JUNEPREPRINT) Fast multidimensional entropy estimation by k-d partitioning Dan Stowell, Mark D. Plumbley Abstract—We describe a non-parametric estimator for the Add to Reading List Source URL: c4dm.eecs.qmul.ac.uk Language: English - Date: 2009-05-13 08:48:24 Statistical inference M-estimators Robust statistics Maximum likelihood Efficient estimator Estimator Median Consistent estimator Kernel density estimation Statistics Estimation theory Statistical theory
73	Chapter 1 Heuristics The official dogma on parametric estimation is: Good estimators converge to the right thing and have limiting normal distributions; moreover, the variance of the limiting distribution can’t be sma Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2010-09-07 00:00:23 Consistent estimator Maximum likelihood Fisher information Fisher consistency Loss function Estimator Sufficient statistic Delta method M-estimator Statistics Estimation theory Statistical theory
74	Generalized Denoising Auto-Encoders as Generative Models Yoshua Bengio, Li Yao, Guillaume Alain, and Pascal Vincent D´epartement d’informatique et recherche op´erationnelle, Universit´e de Montr´eal Abstract Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-02-24 18:37:23 Statistical inference Monte Carlo methods Markov models Maximum likelihood Metropolis–Hastings algorithm Estimator Markov chain Multivariate normal distribution Bayesian network Statistics Estimation theory M-estimators
75	On the Generalization of the Likelihood Function and the Likelihood Principle Jan F. Bjornstad Journal of the American Statistical Association, Vol. 91, NoJun., 1996), ppStable URL: http://links.jstor. Add to Reading List Source URL: www.phil.vt.edu Language: English - Date: 2011-03-10 19:45:58 Bayesian statistics M-estimators Regression analysis Likelihood principle Sufficient statistic Maximum likelihood Empirical Bayes method Likelihood function Covariance Statistics Estimation theory Statistical theory
76	Convergence Rates for Differentially Private Statistical Estimation Kamalika Chaudhuri University of California, San Diego, La Jolla, CA 92093 Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2012-06-04 16:55:55 Statistical theory M-estimators Statistical inference Differential privacy Distribution Normal distribution Exponential mechanism Estimator Robust statistics Statistics Estimation theory Data privacy
77	Estimation of a k-monotone density: limit distribution theory and the spline connection Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2008-01-22 11:41:10 Maximum likelihood Statistical theory Statistics Splines Signal processing Applied mathematics Estimation theory M-estimators Interpolation
78	Estimation of L�evy Processes in Mathematical Finance: A Comparative Study Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:55:07 M-estimators Econometrics Maximum likelihood Normal distribution Consistent estimator Characteristic function Efficient estimator Generalized method of moments Bayes estimator Statistics Estimation theory Statistical theory
79	CURRENT STATUS DATA WITH COMPETING RISKS: CONSISTENCY AND RATES OF CONVERGENCE OF THE MLE By Piet Groeneboom, Marloes H. Maathuis∗ and Jon A. Wellner† Delft University of Technology and Vrije Universiteit Amsterdam, Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2007-05-04 16:07:06 Statistical inference M-estimators Maximum likelihood Logarithm Estimator Maximum spacing estimation Statistics Estimation theory Statistical theory
80	The Annals of Statistics 2003, Vol. 31, No. 4, 1110–1139 © Institute of Mathematical Statistics, 2003 LARGE SAMPLE THEORY FOR SEMIPARAMETRIC REGRESSION MODELS WITH TWO-PHASE, OUTCOME Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-03-10 06:02:03 M-estimators Statistical models Maximum likelihood Fisher information Parametric model Sinc function Statistics Estimation theory Statistical theory

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