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Expectation
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#	Item
261	Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems Yuxin Chen ∗ Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2015-05-18 13:20:34 Regression analysis Numerical linear algebra Estimation theory Least squares Mathematical optimization Expectation–maximization algorithm Linear least squares Conjugate gradient method Complex number Statistics Mathematics Numerical analysis
262	X-TMCMC: Adaptive kriging for Bayesian inverse modeling Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2015-03-12 11:25:52 Surrogate model Likelihood function Dimensional analysis Maximum likelihood Expectation–maximization algorithm Statistics Estimation theory Kriging
263	Implementing Approximate Bayesian Inference using Integrated Nested Laplace Approximation: a manual for the inla program Sara Martino and H˚avard Rue Department of Mathematical Sciences NTNU, Norway January 2008 Add to Reading List Source URL: www.bias-project.org.uk Language: English - Date: 2008-09-28 15:14:45 C programming language International Obfuscated C Code Contest Expectation–maximization algorithm Computer programming Computing Statistics
264	Childhood Sexual Abuse Information Page We are sending this letter with the hope and expectation to partner with all the people who have a role in our kids lives. Our goal is to provide the safest possible environment f Add to Reading List Source URL: www.together-we-heal.org Language: English - Date: 2014-09-16 20:27:46 Sexual abuse Abuse Human behavior Child sexuality Child abuse Child sexual abuse Human sexuality
265	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
266	Bayesian Probability Maps For Evaluation Of Cardiac Ultrasound Data Mattias Hansson1 , Sami Brandt1,2 , and Petri Gudmundsson3 1 Center for Technological Studies, Malm¨o University, Sweden, Add to Reading List Source URL: www.ee.oulu.fi Language: English - Date: 2010-11-08 03:59:58 Bayesian statistics Statistical models Statistical theory Expectation–maximization algorithm Missing data Mixture model Maximum likelihood Gibbs sampling Prior probability Statistics Probability and statistics Estimation theory
267	CME 323: Distributed Algorithms and Optimization, Spring 2015 http://stanford.edu/~rezab/dao. Instructor: Reza Zadeh, Databricks and Stanford. Lecture 11, Schmit. Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-05-13 20:54:52 Stochastic optimization Operations research Stochastic gradient descent Gradient descent K-means++ Expectation–maximization algorithm K-means clustering Mathematical optimization Numerical analysis Statistics Mathematics
268	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
269	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
270	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

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