The current issue and full text archive of this journal is available on Emerald Insight at: www.emeraldinsight.comhtm Demographic research with non-representative internet data

Source URL: www.zagheni.net

• Statistical theory
• Bias
• Evaluation methods
• Philosophy of science
• Data analysis
• Demography
• Data mining
• Official statistics
• Statistical inference
• Science
• Statistics
• Knowledge

What can THORPEX collaborate with MAHASRI? TIGGE: THORPEX Interactive Grand Global Ensemble Tetsuo Nakazawa

Source URL: mahasri.cr.chiba-u.ac.jp

• Monte Carlo methods
• Data analysis
• Forecasting
• Time series analysis
• Ensemble forecasting
• Weather prediction
• Statistical forecasting
• Statistics
• Prediction

Protocols for Learning Classifiers on Distributed Data Hal Daum´e III Je↵ M. Phillips University of Maryland, CP University of Utah Suresh Venkatasubramanian

Source URL: www.cs.utah.edu

• Linear classifier
• Classifier
• Gain
• Boosting methods for object categorization
• Random subspace method
• Statistics
• Statistical classification
• Margin classifier

Behav Res:1073–1086 DOIs13428y Establishing normative data for repeated cognitive assessment: A comparison of different statistical methods Wim Van der Elst & Geert Molenberghs &

Source URL: files.jellejolles.nl

Glossary of Multivariate Statistical Methods An invaluable overview of the main terms and methods used in Multivariate Data Analysis

Source URL: www.camo.com

• Statistical methods
• Multivariate statistics
• Design of experiments
• Linear regression
• Multivariate analysis
• Calibration
• Analysis of variance
• Data analysis
• Instrumental variable
• Statistics
• Regression analysis
• Econometrics

Bayesian Learning via Stochastic Gradient Langevin Dynamics

Source URL: www.ics.uci.edu

• Computational statistics
• Stochastic optimization
• Statistical mechanics
• Estimation theory
• Markov chain Monte Carlo
• Langevin dynamics
• Stochastic approximation
• Metropolis–Hastings algorithm
• Mixture model
• Statistics
• Probability and statistics
• Monte Carlo methods

Comparison of Classifier Selection Methods for Improving Committee Performance Matti Aksela Helsinki University of Technology, Neural Networks Research Centre P.O.Box 5400, FinHUT, Finland

Source URL: www.cis.hut.fi

• Parts of speech
• Statistical classification
• Ensemble learning
• Learning classifier system
• Classifier
• Support vector machine
• Chinese classifier
• Random subspace method
• Machine learning
• Statistics
• Artificial intelligence

Infinite State Bayesian Networks Max Welling∗, Ian Porteous, Evgeniy Bart† Donald Bren School of Information and Computer Sciences University of California Irvine Irvine, CAUSA {welling,iporteou}@ics.uci.

Source URL: www.ics.uci.edu

• Statistical natural language processing
• Markov models
• Graphical models
• Variational Bayesian methods
• Dirichlet process
• Gibbs sampling
• Bayesian network
• Latent Dirichlet allocation
• Mixture model
• Statistics
• Bayesian statistics
• Statistical models

Bayesian K-Means as a “Maximization-Expectation” Algorithm October 18, 2007 Abstract

Source URL: www.ics.uci.edu

• Statistical theory
• Expectation–maximization algorithm
• Missing data
• Statistical models
• Maximum likelihood
• Fisher information
• Variational Bayesian methods
• Marginal likelihood
• Mixture model
• Statistics
• Estimation theory
• Bayesian statistics

Van Trees, Harry L., Kristine L. Bell with Zhi Tian. Detection, Estimation, and Modulation Theory – Part I – Detection, Estimation, and Filtering Theory. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013, 1151 pp. $

Source URL: www.signalprocessingsociety.org

• Electronic engineering
• Statistical inference
• Linear filters
• Robot control
• Estimation theory
• Monte Carlo methods
• Kalman filter
• Nonlinear filter
• Importance sampling
• Statistics
• Control theory
• Signal processing