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Mixture model
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211	COURSE FLYER Introduction to Zero Inflated Models with R - Frequentist and Bayesian approaches Provided by: Highland Statistics Ltd Date & Venue Add to Reading List Source URL: www.highstat.com Language: English - Date: 2015-03-23 09:39:57 Categorical data Econometrics Monte Carlo software OpenBUGS Count data Regression analysis Mixture model Just another Gibbs sampler Statistics Actuarial science Statistical models
212	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
213	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
214	Granger Causality and Regime Inference in Bayesian Markov-Switching VARs Matthieu Droumagueta , Anders Warneb , Tomasz Wo´zniakc,∗ a Department of Economics, European University Institute Add to Reading List Source URL: fbe.unimelb.edu.au Language: English - Date: 2015-05-10 20:36:54 Econometrics Markov processes Statistical models Markov chain Vector autoregression Granger causality Entailment Causality Mixture model Statistics Time series analysis Markov models
215	CREATES Research PaperBayesian Option Pricing Using Mixed Normal Heteroskedasticity Models Jeroen V.K. Rombouts and Lars Stentoft School of Economics and Management Add to Reading List Source URL: www.econ.au.dk Language: English - Date: 2011-09-21 09:12:59 Options Finance Autoregressive conditional heteroskedasticity Stochastic volatility Volatility Implied volatility Black–Scholes Mixture model Time series Mathematical finance Financial economics Statistics
216	Linear Gaussian Models for Speech Recognition Antti-Veikko Ilmari Rosti Wolfson College May 2004 Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:17:08 Hidden Markov model Kalman filter Markov chain Mixture model Expectation–maximization algorithm Maximum likelihood Generalized method of moments Dynamical system Matrix Statistics Markov models Estimation theory
217	To Appear: Body Sensor Networks Workshop, Boston MA, AprilMulti-sensor Data Fusion Using the Influence Model Wen Dong and Alex Pentland E15-383, 20 Ames Street The MIT Media Laboratory Add to Reading List Source URL: vismod.media.mit.edu Language: English - Date: 2006-01-25 11:22:24 Markov processes Markov chain Hidden Markov model Expectation–maximization algorithm Stochastic process Matrix Mixture model Normal distribution Sensor Statistics Markov models Statistical models
218	SIMILAR FIT STATISTICS AND SIMILAR PARTITIONS: HOW SELECTING A SUBOPTIMAL SOLUTION IMPACTS THE ACCURACY OF A MIXTURE MODEL Emilie M. Shireman University of Missouri Add to Reading List Source URL: www.modeling.uconn.edu Language: English - Date: 2015-05-22 23:10:32 Bayesian inference Bayesian information criterion Cluster analysis Machine learning BIC Conceptual model Mixture model Statistics Model selection Probability and statistics
219	INTERSPEECHDiscriminative Training for Hierarchical Clustering in Speaker Diarization Oriol Vinyals1,2 , Gerald Friedland2 , Nelson Morgan1,2 University of California, Berkeley, CA, USA International Computer Scie Add to Reading List Source URL: www.icsi.berkeley.edu Language: English - Date: 2011-01-14 19:48:19 Bayesian statistics Machine learning Cluster analysis Expectation–maximization algorithm Maximum likelihood Speech recognition Speaker diarisation Mixture model Bayesian information criterion Statistics Estimation theory Statistical theory
220	Image Texture Classification Based on Finite Gaussian Mixture Models Yiming Wu, Kap Luk Chan, Yong Huang School of Electrical and Electronic Engineering Nanyang Technological University Nanyang Avenue, Singapore, 639798 Add to Reading List Source URL: www.macs.hw.ac.uk Language: English - Date: 2003-09-11 06:46:48 Probability Gaussian function Image processing Linear filters Wavelet Mixture model Scale space Steerable pyramid Normal distribution Statistics Computer vision Probability and statistics

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