ISSNDependent mixture models: clustering and borrowing information Antonio Lijoi

Source URL: www.carloalberto.org

• Probability
• Statistical models
• Statistical dependence
• Statistical theory
• Dirichlet process
• Exchangeable random variables
• Parametric model
• Independence
• Probability space
• Statistics
• Probability theory
• Probability and statistics

Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development Diane J. Hu1 , Laurens van der Maaten1,2 , Youngmin Cho1 , Lawrence K. Saul1 , Sorin Lerner1 1 Dept. of Computer Science & Engin

Source URL: lvdmaaten.github.io

• Mixture model
• Expectation–maximization algorithm
• Dirichlet process
• Bernoulli distribution
• Variational Bayesian methods
• Statistics
• Cluster analysis
• Machine learning

Microsoft Word - APR

Source URL: www.atmospolres.com

• Persistent organic pollutants
• Hexachlorocyclohexane
• Pesticides
• Polychlorinated biphenyl
• Soil
• Chiral knot
• Enantiomer
• Racemic mixture
• Chemistry
• Stereochemistry
• Organochlorides

Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images Marc’Aurelio Ranzato Alex Krizhevsky Geoffrey E. Hinton

Source URL: www.cs.toronto.edu

• Probability and statistics
• Boltzmann machine
• Latent variable
• Generative model
• Mixture model
• Unsupervised learning
• Statistical classification
• Independent component analysis
• Statistics
• Statistical models
• Machine learning

Group-Based criminal trajectory analysis using cross-validation criteria J.D. Nielsen1 , J.S. Rosenthal2 , Y. Sun3 , D.M. Day4 , I. Bevc5 , and T. Duchesne6 (Last revised July 30, 2012.)

Source URL: probability.ca

• Statistical models
• Cluster analysis
• Categorical data
• Latent class model
• Bayesian information criterion
• Akaike information criterion
• Cross-validation
• Mixture model
• Statistics
• Model selection
• Machine learning

Fill in title in File > Properties > Settings

Source URL: projects.nr.no

• Actuarial science
• Copula
• Covariance and correlation
• Mathematical finance
• Mixture model
• Aas
• Nils Lid Hjort
• Haff
• Correlation and dependence
• Statistics
• Statistical dependence
• Probability and statistics

Andrew Cron Weinraub Analytics Durham, NCEmail: Web: http://www.andrewcron.com/

Source URL: www.andrewcron.com

• Machine learning
• Graphics hardware
• Video cards
• Statistical natural language processing
• Cluster analysis
• Mixture model
• GPGPU
• Latent Dirichlet allocation
• Cron
• Statistics
• Computing
• Statistical models

MODEL SELECTION IN A SETTING WITH LATENT VARIABLES Ralf Eggeling1 , Teemu Roos2 , Petri Myllym¨aki2 , Ivo Grosse1 1 Institute for Computer Science, Martin Luther University Halle-Wittenberg, 06099 Halle, GERMANY, {eggel

Source URL: www.me.inf.kyushu-u.ac.jp

• Bayesian statistics
• Graphical models
• Estimation theory
• Expectation–maximization algorithm
• Mixture model
• Hidden Markov model
• Latent variable
• Markov chain
• Bayesian network
• Statistics
• Statistical models
• Markov models

Fernet is a bitter spirit, has been popular for the past couple of decades. It is sometimes served as a shot or over ice with tonic water, a mixture affectionately called "Bavorské Pivo" (Bavarian Beer) or "Bavorák." T

Source URL: www.hoedgekruid.be

GENERAL MULTILELEVEL MODELING WITH SAMPLING WEIGHTS Tihomir Asparouhov Muthen & Muthen Los Angeles, California, USA

Source URL: www.statmodel.com

• Regression analysis
• Machine learning
• Statistical inference
• Sampling
• Linear regression
• Cluster sampling
• Mixture model
• Sample size determination
• Estimator
• Statistics
• Estimation theory
• Statistical models