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Maximum likelihood estimation
Results: 1796

#	Item
721	Testing Causality Between Two Vectors in Multivariate GARCH Models Add to Reading List Source URL: fbe.unimelb.edu.au Language: English - Date: 2013-08-05 02:22:00 Estimation theory Autoregressive conditional heteroskedasticity Regression analysis Causality Vector autoregression Economic model Autoregressive–moving-average model Maximum likelihood Time series Statistics Time series analysis Econometrics
722	Journal of Machine Learning Research[removed]3015 Submitted 8/10; Revised 9/10; Published[removed]Gaussian Processes for Machine Learning (GPML) Toolbox Carl Edward Rasmussen∗ Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-11-19 19:10:52 Gaussian process Likelihood function Variational Bayesian methods Marginal likelihood Kriging Covariance Regression analysis Conjugate prior Maximum likelihood Statistics Bayesian statistics Estimation theory
723	NON-GAUSSIAN DATA ASSIMILATION STEVEN FLETCHER COOPERATIVE INSITUTE FOR RESEARCH IN THE ATMOSPHERE, COLORADO STATE UNIVERSITY Add to Reading List Source URL: www.jcsda.noaa.gov Language: English - Date: 2007-08-10 10:19:47 Probability theory Multivariate normal distribution Estimation theory Univariate Log-normal distribution Central limit theorem Maximum likelihood Variance Moment Statistics Probability and statistics Normal distribution
724	MAXIMUM LIKELIHOOD ENSEMBLE FILTER: THEORETICAL ASPECTS Milija Zupanski Cooperative Institute for Research in the Atmosphere Colorado State University Add to Reading List Source URL: rammb.cira.colostate.edu Language: English - Date: 2005-01-27 11:24:28 Statistical forecasting Cybernetics Linear filters Bayesian statistics Ensemble Kalman filter Data assimilation Kalman filter Ensemble forecasting Forecasting Statistics Estimation theory Control theory
725	Notes 09 Statistical Machine Learning Probabilistic Learning Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:35 Maximum likelihood Fisher information Normal distribution Likelihood function Bias of an estimator Multivariate normal distribution Loss function Kullback–Leibler divergence Statistics Estimation theory Statistical theory
726	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Evaluation of the 2006 revision of the medical payment system in Japan by a new estimator of Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:06:53 Maximum likelihood Consistent estimator Estimation theory Statistical theory Statistics
727	NWP SAF Satellite Application Facility for Numerical Weather Prediction Document NWPSAF-KN-VS-002 Version 1.0 October 2002 Add to Reading List Source URL: www.knmi.nl Language: English - Date: 2007-08-28 10:15:29 Estimation theory Statistical forecasting Wind QuikSCAT Spaceflight Data assimilation Scatterometer Maximum likelihood Numerical weather prediction Atmospheric sciences Meteorology Weather prediction
728	Mach Learn[removed]: 261–282 DOI[removed]s10994[removed]A multivariate Bayesian scan statistic for early event detection and characterization Daniel B. Neill · Gregory F. Cooper Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-04-30 20:02:36 Hypothesis testing Estimation theory Statistical theory Statistical hypothesis testing Maximum likelihood Conjugate prior Null hypothesis Statistics Statistical inference Design of experiments
729	Statistical analysis of incomplete data: theory, techniques and software A. M. Nikiforov Preface and supplement to the Russian edition of Little R.J.A., Rubin D.B. Statistical Analysis With Missing Data. Moscow, Finansy Add to Reading List Source URL: www.ams.sunysb.edu Language: English Maximum likelihood Multivariate normal distribution Likelihood function Normal distribution Regression analysis Fisher information Linear discriminant analysis Variance Statistics Estimation theory Expectation–maximization algorithm
730	Spatial Priors for Part-Based Recognition using Statistical Models David Crandall1 Cornell University [removed] Pedro Felzenszwalb Add to Reading List Source URL: vision.soic.indiana.edu Language: English - Date: 2014-08-03 00:38:07 Image processing Artificial intelligence Estimation theory Object recognition Maximum likelihood Edge detection One-shot learning Scale-invariant feature transform Computer vision Vision Imaging

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