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Mixture distribution
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21	BIRDNEST: Bayesian Inference for Ratings-Fraud Detection Bryan Hooi∗ Neil Shah∗ Mohit Kumar§ Add to Reading List Source URL: alexbeutel.com Language: English - Date: 2016-05-18 18:10:27 Statistics Probability Mathematical analysis Probability distributions Dirichlet-multinomial distribution Dirichlet distribution Mixture model Bayesian network Recommender system Multinomial distribution Bayesian inference Markov chain
22	IMPROVING AUTO-TAGGING BY MODELING SEMANTIC CO-OCCURRENCES Riccardo Miotto University of Padova Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:02:40 Computational linguistics Collective intelligence Knowledge representation Artificial intelligence applications Automatic image annotation Semantic similarity Mixture model Music information retrieval Tag Folksonomy Natural language processing Dirichlet distribution
23	Ann Inst Stat Math:589–619 DOIs10463Influence diagnostics for robust P-splines using scale mixture of normal distributions Felipe Osorio Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-06-28 03:34:42 Statistical theory Estimation theory Robust statistics Statistical methods Econometrics Outlier Maximum likelihood estimation Efficiency Expectationmaximization algorithm Spline Regression analysis Normal distribution
24	Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction Shay B. Cohen and Noah A. Smith Language Technologies Institute School of Computer Science Carnegie Mellon University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:50:48 Probability distributions Variational Bayesian methods Dirichlet distribution Expectationmaximization algorithm Gamma distribution Latent Dirichlet allocation Multinomial distribution Normal distribution Bayesian network Dirichlet process Mixture model Exponential family
25	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOITKDE, IEEE Tr Add to Reading List Source URL: people.tubri.org Language: English - Date: 2015-03-18 18:22:04 Robust statistics Estimation theory Statistical theory Covariance and correlation M-estimators Outlier Maximum likelihood estimation Mixture model Expectationmaximization algorithm Sample mean and covariance Efficiency Normal distribution
26	Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005 Add to Reading List Source URL: www.idep.eco.usi.ch Language: English - Date: 2012-01-04 14:50:59 Statistical models Regression analysis Choice modelling Discrete choice Mode choice Mixed logit Probability distribution Multinomial logistic regression Logistic regression Likelihood function Mixture model Gibbs sampling
27	COMBINED ALGORITHMS FOR FITTING FINITE MIXTURE DISTRIBUTIONS COMBINED ALGORITHMS FOR CONSTRAINED ESTIMATION OF FINITE MIXTURE DISTRIBUTIONS WITH GROUPED Add to Reading List Source URL: ms.mcmaster.ca Language: English - Date: 2006-07-28 11:20:38 Estimation theory Probability distributions Expectationmaximization algorithm Missing data Mixture distribution Maximum likelihood estimation Mixture model
28	A Statistical Model for Event Sequence Data Kevin Heins Department of Statistics University of California, Irvine Add to Reading List Source URL: contecenter.uci.edu Language: English - Date: 2014-08-06 21:12:14 Statistical models Stochastic processes Poisson processes Probability theory Probability distributions Markov chain Exponential distribution Renewal theory Mixture model Sequence alignment
29	A concave regularization technique for sparse mixture models Martin Larsson School of Operations Research and Information Engineering Cornell University Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-02-24 03:30:42 Statistical natural language processing Probability distributions Latent Dirichlet allocation Probabilistic latent semantic analysis Expectationmaximization algorithm Dirichlet distribution Distribution Object categorization from image search
30	Efﬁcient Nonparametric Belief Propagation with Application to Articulated Body Tracking Tony X. Han Huazhong Ning Thomas S. Huang Beckman Institute and ECE Department Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2006-11-17 00:18:56 Graphical models Probability distributions Belief propagation Coding theory Probability theory Conference on Computer Vision and Pattern Recognition Normal distribution Mixture model DNA polymerase lambda

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