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Mixture model
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#	Item
261	Switchable Deep Network for Pedestrian Detection Ping Luo1,3,∗ Yonglong Tian1,∗ Xiaogang Wang2 Xiaoou Tang1,3 1 Add to Reading List Source URL: mmlab.ie.cuhk.edu.hk Language: English - Date: 2014-04-29 03:32:31 Expectation–maximization algorithm Missing data Supervised learning Maximum likelihood Mixture model Pattern recognition Statistics Machine learning Estimation theory
262	A Gaussian Latent Variable Model for Large Margin Classiﬁcation of Labeled and Unlabeled Data Do-kyum Kim, Matthew Der, and Lawrence K. Saul UC San Diego 1. Overview Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2015-03-01 20:28:42 Semi-supervised learning Support vector machine Expectation–maximization algorithm Supervised learning Mixture model Logarithm Statistics Machine learning Computational statistics
263	Bayesian classification of catchments using spatial data: a first step to improved modelling of catchment effects on stream ecological condition Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 19:04:33 Bayesian statistics Hydrology Statistical models Naive Bayes classifier Statistical classification Climate Geographic information system Evapotranspiration Mixture model Statistics Earth Machine learning
264	LATENT CLASS ANALYSIS WITH SAMPLING WEIGHTS: A MAXIMUM LIKELIHOOD APPROACH Jeroen K. Vermunt Department of Methodology and Statistics, Tilburg University Jay Magidson Statistical Innovations Inc. Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:22 Mathematical analysis Expectation–maximization algorithm Missing data Mixture model Latent class model Latent variable model Weight function Maximum likelihood Statistics Estimation theory Statistical models
265	doi: j.1365-246Xx A new approach to time-dependent inversion of geodetic data using a Monte Carlo mixture Kalman filter Jun’ichi Fukuda,1 Tomoyuki Higuchi,2 Shin’ichi Miyazaki1 and Teruyuki Kato1 Add to Reading List Source URL: tswww.ism.ac.jp Language: English - Date: 2004-09-16 20:37:56 Control theory Stochastic differential equations Kalman filter Robot control Q Normal distribution Markov chain Linear model Fixed effects model Statistics Markov models Regression analysis
266	Latent Class (Finite Mixture) Segments How to find them and what to do with them Jay Magidson Statistical Innovations Inc. Belmont, MA USA www.statisticalinnovations.com Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2010-07-29 08:39:16 Local independence Latent variable Mixture model Expectation–maximization algorithm Statistics Statistical models Latent class model
267	Package ‘QRM’ July 26, 2012 VersionDateTitle Provides R-language code to examine Quantitative Risk Management concepts Depends R(>= 2.10.0), gsl, Matrix, mvtnorm, numDeriv, timeSeries Add to Reading List Source URL: www.pfaffikus.de Language: English - Date: 2012-08-01 11:49:35 Copula Statistical dependence Statistical models Mixture model Statistics Probability and statistics Actuarial science
268	Microsoft Word - Epilepsy tutorial7A.doc Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-06-01 10:30:08 Statistical models Categorical data Statistical methods Poisson regression Mixture model Epilepsy Economic model Proportional hazards models Statistics Regression analysis Econometrics
269	Learning Mixtures of Product Distributions using Correlations and Independence Kamalika Chaudhuri Information Theory and Applications, UC San Diego Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2011-01-01 02:41:47 Linear algebra Data analysis Machine learning Multivariate statistics Cluster analysis Mixture model Normal distribution Vector space Variance Algebra Statistics Mathematics
270	Non-parametric Random-Effects Model Jeroen K. Vermunt & Jay Magidson Random-effects modeling is one of the several alternative approaches to deal with dependent observations such as that which occur in repeated measures Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:06 Econometrics Actuarial science Statistical inference Linear regression Non-parametric statistics Latent class model Mixture distribution Parametric model Generalized linear model Statistics Statistical models Regression analysis

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