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Maximum likelihood
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#	Item
331	Kernel Methods for Text-Independent Speaker Verification Chris Longworth Cambridge University Engineering Department and Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2010-02-25 03:54:38 Statistical theory Non-parametric statistics Kernel Support vector machine Multivariate normal distribution Expectation–maximization algorithm Normal distribution Kullback–Leibler divergence Maximum likelihood Statistics Statistical classification Estimation theory
332	GMRF Estimation under Topological and Spectral Constraints Victorin Martin, Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes To cite this version: Victorin Martin, Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes. GMRF Add to Reading List Source URL: hal.archives-ouvertes.fr Language: English - Date: 2015-06-16 07:35:49 Matrices Covariance and correlation Matrix theory Belief propagation Coding theory Matrix Covariance matrix Determinant Maximum likelihood Algebra Statistics Mathematics
333	Structured Learning of Gaussian Graphical Models Karthik Mohan∗, Michael Jae-Yoon Chung†, Seungyeop Han†, Daniela Witten‡, Su-In Lee§, Maryam Fazel∗ Abstract We consider estimation of multiple high-dimensional Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2012-11-06 17:11:34 Estimation theory Statistical models Gene regulatory network Systems biology Maximum likelihood Graphical model Connectivity Statistics Networks Bayesian statistics
334	Maximum likelihood estimation for Markov processes Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2011-12-09 08:45:04 Bayesian statistics Statistical inference Maximum likelihood Likelihood function Likelihood-ratio test Expectation–maximization algorithm Likelihood principle Statistics Estimation theory Statistical theory
335	On the Invertibility of EGARCH(p,q)* Guillaume Gaetan Martinet ENSAE Paris Tech, France and Department of Industrial Engineering and Operations Research Add to Reading List Source URL: www.econometrics.kier.kyoto-u.ac.jp Language: English - Date: 2015-02-19 20:21:00 Economics Options Autoregressive conditional heteroskedasticity Econometrics Time series analysis Stochastic volatility Volatility Maximum likelihood Mathematical finance Statistics Financial economics
336	A geometric characterization of c-optimal designs for heteroscedastic regression Holger Dette Tim Holland-Letz Add to Reading List Source URL: www.statistik.tu-dortmund.de Language: English - Date: 2009-01-12 11:08:18 Regression analysis Design of experiments Econometrics Fisher information Maximum likelihood Linear regression Optimal design Dimensional analysis Hájek–Le Cam convolution theorem Statistics Estimation theory Statistical theory
337	Testing Whether Humans Have an Accurate Model of Their Own Motor Uncertainty in a Speeded Reaching Task Hang Zhang1,2, Nathaniel D. Daw1,2, Laurence T. Maloney1,2 1 Department of Psychology, New York University, New Yor Add to Reading List Source URL: psych.nyu.edu Language: English* - Date: 2015-02-23 11:10:52 Psychometrics Normal distribution Statistical hypothesis testing Probability distribution Statistical model Estimation theory Maximum likelihood Statistics Statistical inference Statistical theory
338	ESTIMATION THEORY AND INFORMATION GEOMETRY BASED ON DENOISING Aapo Hyv¨arinen Dept of Computer Science, Dept of Mathematics & Statistics, and HIIT University of Helsinki, Finland. ABSTRACT We consider a new estimation m Add to Reading List Source URL: sp.cs.tut.fi Language: English - Date: 2008-08-06 07:07:00 Fisher information Parametric model Estimator Linear regression Score Efficient estimator M-estimator Statistics Estimation theory Maximum likelihood
339	ESTIMATION OF UNNORMALIZED STATISTICAL MODELS WITHOUT NUMERICAL INTEGRATION Michael U. Gutmann1,3 and Aapo Hyv¨arinen1,2,3 1 Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2014-01-08 20:08:58 Maximum likelihood Parametric model Likelihood function Exponential family Consistent estimator Score Fisher information Extremum estimator Estimation theory Statistics Statistical theory
340	Linear Gaussian Models for Speech Recognition Antti-Veikko Ilmari Rosti Wolfson College May 2004 Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:17:08 Hidden Markov model Kalman filter Markov chain Mixture model Expectation–maximization algorithm Maximum likelihood Generalized method of moments Dynamical system Matrix Statistics Markov models Estimation theory

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