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Maximum likelihood
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711	Solid Earth, 5, 631–639, 2014 www.solid-earth.netdoi:se © Author(sCC Attribution 3.0 License. Modelling complex geological circular data with the projected Add to Reading List Source URL: www.solid-earth.net Language: English - Date: 2014-12-05 06:37:25 Statistical theory Statistical models Bayesian statistics Von Mises distribution Von Mises–Fisher distribution Maximum likelihood Mixture model Expectation–maximization algorithm Deviance information criterion Statistics Directional statistics Estimation theory
712	Pelagic Fisheries Research Program http://www.soest.hawaii.edu/PFRP/ State space model for estimating geographic positions from light measurements Add to Reading List Source URL: www.soest.hawaii.edu Language: English - Date: 2006-12-14 15:51:54 Kalman filter Maximum likelihood Variance Statistics Estimation theory Normal distribution
713	Microsoft Word - spatial-acmDL.doc Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-11-01 12:27:09 Statistical theory Estimation theory Design of experiments Likelihood-ratio test Statistical hypothesis testing Maximum likelihood P-value Statistical power Null hypothesis Statistics Hypothesis testing Statistical inference
714	Microsoft PowerPoint - Fast Multivariate Subset Scanning for Scalable Cluster Detection.ppt [Compatibility Mode] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-05-18 15:57:20 Statistical theory Likelihood-ratio test Resampling Maximum likelihood Likelihood function Statistics Statistical tests Estimation theory
715	Research Article Received 1 July 2012, Accepted 18 MarchPublished online 13 May 2013 in Wiley Online Library Add to Reading List Source URL: www.gllamm.org Language: English - Date: 2013-12-31 21:06:55 Meta-analysis Linear regression Point estimation Estimator Mean squared error Bias of an estimator M-estimator Restricted maximum likelihood Empirical Bayes method Statistics Estimation theory Maximum likelihood
716	MAXIMUM-LIKELIHOOD ADAPTATION OF SEMI-CONTINUOUS HMMS BY LATENT VARIABLE DECOMPOSITION OF STATE DISTRIBUTIONS Antoine Raux and Rita Singh School of Computer Science, Carnegie Mellon University, USA {antoine, rsingh}@cs.c Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-07-30 13:47:46 Markov models Estimation theory Bioinformatics Hidden Markov model Statistical models Probabilistic latent semantic analysis Expectation–maximization algorithm Mixture model Singular value decomposition Statistics Algebra Mathematics
717	Combining Active Sampling with Parameter Estimation and Prediction in Single Networks Joseph J. Pfeiffer III Jennifer Neville Department of Computer Science, Purdue University, West Lafayette, IN Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2013-05-17 16:26:10 Graph theory Maximum likelihood Statistical theory Graph Parameter Mathematics Estimation theory Statistics
718	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
719	Intgrating population and indivudual-based models Add to Reading List Source URL: www.soest.hawaii.edu Language: English - Date: 2010-03-24 20:59:18 3M Dow Jones Industrial Average L2 Maximum likelihood Kalman filter Likelihood-ratio test Estimation theory Statistics Statistical theory Markov models
720	SCTB15 Working Paper MWG− 8 Application of production models to the assessment of the SCTB-MWG simulated tuna fishery data Add to Reading List Source URL: www.soest.hawaii.edu Language: English - Date: 2002-08-28 16:37:21 Maximum likelihood Log-normal distribution Probability and statistics Normal distribution Statistics Fisheries science Stock assessment

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