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Estimation of distribution algorithm
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21	Evaluation of a New Variance Component Estimation Method Hierarchical GLM Approach with Application in QTL Analysis Author: Add to Reading List Source URL: www.statistics.du.se Language: English - Date: 2009-11-24 08:00:14 Data analysis Bayesian statistics Statistical theory Generalized linear model Maximum likelihood Expectation–maximization algorithm Normal distribution Mixed model Restricted maximum likelihood Statistics Estimation theory Regression analysis
22	Performance Evaluation of Single and Multiple-Gaussian Models for Skin Color Modeling Tiberio S. Caetano, Silvia D. Olabarriaga, Dante A. C. Barone Universidade Federal do Rio Grande do Sui Instituto de Informcitica Av. Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2008-05-10 06:34:26 Statistical theory Gaussian function Cluster analysis Mixture model Expectation–maximization algorithm Segmentation Maximum likelihood Normal distribution Statistical model Statistics Image processing Estimation theory
23	Chapter 9 Survival Analysis and the EM Algorithm Survival analysis had its roots in governmental and actuarial statistics, spanning centuries of use in assessing life expectencies, insurance rates, and annuities. In the Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2014-11-21 19:45:54 Statistical tests Estimation theory Statistical models Proportional hazards models Logrank test Normal distribution Risk Expectation–maximization algorithm Statistical hypothesis testing Statistics Survival analysis Actuarial science
24	Submitted to the Annals of Statistics ON THE EFFICIENCY OF PSEUDO-MARGINAL RANDOM WALK METROPOLIS ALGORITHMS By Chris Sherlock, Alexandre H. Thiery, Gareth O. Roberts, and Jeffrey S. Rosenthal Add to Reading List Source URL: probability.ca Language: English - Date: 2014-10-02 19:03:26 Estimation theory Normal distribution Central limit theorem Metropolis–Hastings algorithm Markov chain Estimator Variance Wiener process Principal component analysis Statistics Statistical inference Data analysis
25	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
26	Probabilistic Modeling of Human Movements for Intention Inference Zhikun Wang1,2 , Marc Peter Deisenroth2 , Heni Ben Amor2 , David Vogt3 , Bernhard Schölkopf1 , Jan Peters1,2 1 MPI for Intelligent Systems, Spemannstr. 3 Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2012-06-11 09:24:01 Linear filters Markov models Bayesian statistics Kalman filter Expectation–maximization algorithm Hidden Markov model Gaussian process Gaussian function Normal distribution Statistics Estimation theory Robot control
27	➠ ➡ SPECTRAL CONVERSION BASED ON MAXIMUM LIKELIHOOD ESTIMATION CONSIDERING GLOBAL VARIANCE OF CONVERTED PARAMETER Tomoki Toda†‡ , Alan W Black† , Keiichi Tokuda‡ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-02-24 15:57:00 Generalized method of moments Mixture model Variance Normal distribution Expectation–maximization algorithm Statistics Estimation theory Maximum likelihood
28	Approximate Bayesian computation for the parameters of PRISM programs James Cussens Department of Computer Science & York Centre for Complex Systems Analysis University of York Heslington, York, YO10 5DD, UK. . Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2010-08-26 11:15:09 Bayesian statistics Econometrics Expectation–maximization algorithm Missing data Maximum likelihood Confidence interval Gamma distribution Likelihood function Hidden Markov model Statistics Estimation theory Statistical theory
29	Robust and Scalable Black-Box Optimization, Hierarchy, and Ising Spin Glasses Martin Pelikan Computational Laboratory (CoLab), Swiss Federal Institute of Technology (ETH), Zurich, Switzerland David E. Goldberg Illinois G Add to Reading List Source URL: hboa.deg511.com Language: English - Date: 2007-07-17 16:58:44 Cybernetics Genetic algorithms Science Bayesian statistics Statistical models Estimation of distribution algorithm Evolutionary algorithm Bayesian network Crossover Applied mathematics Mathematics Mathematical optimization
30	BOA: The Bayesian Optimization Algorithm Martin Pelikan, David E. Goldberg, and Erick Cant´ u-Paz Illinois Genetic Algorithms Laboratory Department of General Engineering Add to Reading List Source URL: hboa.deg511.com Language: English - Date: 2007-07-17 16:58:44 Mathematical optimization Estimation of distribution algorithm Evolutionary computation Cybernetics Operations research Genetic algorithm Algorithm Bayesian network Combinatorial optimization Mathematics Applied mathematics Theoretical computer science