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Likelihood
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#	Item
131	Evaluating TOP-K Queries Over Business Processes Daniel Deutch, Tova Milo Tel Aviv University {danielde,milo}@post.tau.ac.il Abstract— A Business Process (BP) consists of some business Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2009-06-11 05:20:56 Operations research Statistics Mathematics Statistical theory Estimation theory Bayesian statistics Bayesian network Query optimization Likelihood function Flow network Dynamic programming Directed acyclic graph
132	Journal of Machine Learning Research–2213 Submitted; PublishedNoisy-OR Component Analysis and its Application to Link Analysis Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2006-10-16 22:09:03 Statistics Estimation theory Statistical models Bayesian statistics Statistical natural language processing Statistical theory Expectationmaximization algorithm Variational Bayesian methods Mixture model Exponential family Latent Dirichlet allocation Likelihood function
133	Paper 287 Fitting Nonlinear Mixed Models with the New NLMIXED Procedure Russell D. Wolfinger, SAS Institute Inc., Cary, NC ABSTRACT Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2016-08-17 18:18:26 Statistics Regression analysis Estimation theory Statistical theory Analysis of variance Statistical methods Generalized linear mixed model Mixed model Restricted maximum likelihood Generalized estimating equation Least squares Likelihood-ratio test
134	Named Entity Recognition in Query Jiafeng Guo† , Gu Xu‡ , Xueqi Cheng† , Hang Li‡ † ‡ Add to Reading List Source URL: www.cse.iitb.ac.in Language: English - Date: 2013-05-05 15:58:46 Statistical natural language processing Machine learning Statistics Artificial intelligence Latent Dirichlet allocation Topic model Dynamic topic model Language model Latent semantic analysis Symbol Expectationmaximization algorithm Likelihood function
135	iParameterEstimation User Guide Bob Zimmermann Washington University in St. Louis Box 1045 One Brookings Drive St. Louis, MO 63130 Add to Reading List Source URL: mblab.wustl.edu Language: English - Date: 2012-03-01 15:55:40 Markov models Statistics Estimation theory Applied mathematics Hidden Markov model Parameter Expectationmaximization algorithm Markov chain HTML element Maximum likelihood estimation
136	Efficient multipowers∗ Aleksey Kolokolov and Roberto Ren`o Department of Statistics, Lund University Lund 22007, Sweden. Dipartimento di Economia Politica e Statistica, Universit` a di Siena. Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-08 02:19:29 Statistics Estimation theory Statistical theory Statistical inference Robust statistics M-estimators Efficiency Efficient estimator Maximum likelihood estimation Consistent estimator Estimator L-estimator
137	Robust Entity Clustering via Phylogenetic Inference Nicholas Andrews and Jason Eisner and Mark Dredze Department of Computer Science and Human Language Technology Center of Excellence Johns Hopkins University 3400 N. Cha Add to Reading List Source URL: www.cs.jhu.edu Language: English - Date: 2014-05-16 20:46:24 Statistics Estimation theory Computational statistics Cluster analysis Gibbs sampling Markov chain Monte Carlo Expectationmaximization algorithm Consensus clustering Likelihood function Sampling
138	Network Analysis and Modeling, CSCI 5352 LectureProf. Aaron Clauset Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2013-11-23 11:09:20 Statistics Statistical theory Monte Carlo methods Markov chain Monte Carlo Markov models Stochastic simulation Estimation theory MetropolisHastings algorithm Gibbs sampling Markov chain Maximum likelihood estimation Importance sampling
139	DEPARTMENT OF MATHEMATICS TECHNICAL REPORT Generalized Correlated Cross-Validation (GCCV) Patrick S. Carmack November 2011 Add to Reading List Source URL: uca.edu Language: English - Date: 2011-11-16 11:21:11 Statistics Probability Mathematical analysis Estimation theory Probability distributions Stable distributions Statistical theory Machine learning Maximum likelihood estimation Covariance Multivariate normal distribution Normal distribution
140	CS 3750 Machine Learning Latent variable models Variational approximations. Milos Hauskrecht Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-10-25 10:58:54 Statistics Statistical theory Probability distributions Estimation theory Expectationmaximization algorithm Missing data Normal distribution Likelihood-ratio test Variational Bayesian methods KullbackLeibler divergence

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