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Mixture theory
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#	Item
321	SAMPLE QUESTIONS The following are examples of the types of questions found on the ASE Student Certification tests. Each test will consist of a mixture of theory and applied diagnostic style questions. For test specifica Add to Reading List Source URL: www.asestudentcertification.com Language: English - Date: 2012-09-14 15:25:32 Mechanical engineering Engineering Wrench Injector Technology
322	Supplementary Figure 1: Linear regression fitting of Ci/Bi vs. Ai/Bi for each platform, normalization method and site to estimate the true mixture coefficients for the C sample from the data. The graphs above were gen Add to Reading List Source URL: www.nature.com Language: English - Date: 2010-04-12 10:48:17 Parametric statistics Estimation theory Robust statistics Linear regression Median Quantile Statistics Regression analysis Econometrics
323	Methodology for Uncertainty Analysis of Dynamic Computational Toxicology Models Jimena Davis1, John Wambaugh1, Ramon I. Garcia2, R. Woodrow Setzer1 research d ev el opme nt Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-05-07 10:14:12 Physiologically based pharmacokinetic modelling Hierarchical Bayes model Estimation theory Prior probability Confidence interval Parameter Point estimation Hyperparameter Mixture model Statistics Bayesian statistics Statistical inference
324	Deep Mixtures of Factor Analysers Yichuan Tang [removed] Ruslan Salakhutdinov [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:54 Machine learning Data analysis Multivariate statistics Expectation–maximization algorithm Mixture model Principal component analysis Maximum likelihood Independent component analysis Supervised learning Statistics Statistical models Estimation theory
325	N EWS AND N OTES 186 Changes on CRAN[removed]to[removed] Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2014-07-29 04:20:02 Econometrics Estimation theory Research methods Linear regression Meta-analysis Optimal design Multivariate analysis Expectation–maximization algorithm Mixture model Statistics Statistical methods Regression analysis
326	A New Approach of Genetic-based EM Algorithm for Mixture Models Sachith Abeysundara, Byungtae Seo (Department of Mathematics & Statistics) Abstract Simulation Results Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-29 16:34:29 Statistical models Expectation–maximization algorithm Missing data Bayesian statistics Mixture model Genetic algorithm Maximum likelihood Mixture distribution Algorithm Statistics Estimation theory Machine learning
327	Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling Changyou Chen1,3 [removed] Research School of Computer Science, The Australian National University, Canberra, ACT, Australia Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:08 Statistical natural language processing Dirichlet process Probability theory Dirichlet distribution Mixture model Pitman–Yor process Dynamic topic model Sampling Concentration parameter Statistics Stochastic processes Statistical models
328	The EM algorithm for interval-valued data Hani Hamdan1,* 1. SUPELEC, Department of Signal Processing and Electronic Systems, FRANCE Contact author: [removed] Keywords: EM algorithm, Clustering, Interval-va Add to Reading List Source URL: www3.stat.sinica.edu.tw Language: English* - Date: 2014-05-21 03:05:02 Missing data Statistical models Machine learning Cluster analysis Mixture model EM Maximum likelihood Baum–Welch algorithm Rasch model estimation Statistics Estimation theory Expectation–maximization algorithm
329	F INITE MIXTURE MODELING OF G AUSSIAN REGRESSION TIME SERIES S EMHAR M ICHAEL ([removed]) and V OLODYMYR M ELNYKOV I NTRODUCTION M ETHODOLOGY– KF-EM Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-30 16:28:45 Estimation theory Cluster analysis Statistical models Expectation–maximization algorithm Regression analysis Mixture model Akaike information criterion Autoregressive conditional heteroskedasticity Western White Pine Statistics Econometrics Machine learning
330	Dirichlet Models in SDA Richard Emilion1,* 1. University of Orléans Contact author: [removed] Keywords: Dirichlet distributions, Dependent Dirichlet Processes Add to Reading List Source URL: www3.stat.sinica.edu.tw Language: English* - Date: 2014-05-21 04:09:42 Dirichlet process Statistical models Dirichlet distribution Probability distribution Non-parametric statistics Copula Estimation theory Mixture Expectation–maximization algorithm Statistics Statistical inference Stochastic processes

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