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Expectation–maximization algorithm
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161	Chapter 11 Scaling the Data from the TIMSS 2007 Mathematics and Science Assessments Pierre Foy, Joseph Galia, and Isaac Li 11.1 Add to Reading List Source URL: timssandpirls.bc.edu Language: English - Date: 2009-08-13 13:53:30 Statistical models Educational research Econometrics Item response theory Trends in International Mathematics and Science Study Expectation–maximization algorithm Variance Linear regression Normal distribution Statistics Estimation theory Data analysis
162	Error-Bounded Probabilistic Graphical Model Simplification by Scott A. Wahl A proposal submitted in partial fulfillment Add to Reading List Source URL: www.cs.montana.edu Language: English - Date: 2014-10-27 15:50:48 Statistical models Networks Bayesian networks Prognostics Expectation–maximization algorithm Factor graph Belief propagation Statistics Bayesian statistics Graphical models
163	EVALUATION OF COMPUTER VISION ALGORITHMS The Role of Theory S. S. BEAUCHEMIN AND R. BAJCSY GRASP Laboratory Department of Engineering and Information Sciences Add to Reading List Source URL: www.csd.uwo.ca Language: English - Date: 2010-12-14 19:46:26 Fourier analysis Digital signal processing Acoustics Physical quantities Normal distribution Fast Fourier transform Work Fundamental frequency Expectation–maximization algorithm Mathematical analysis Statistics Physics
164	Phase type distributions for competing risks Bo Henry Lindqvist* Norwegian University of Science and Technology, Trondheim, Norway Phase-type distributions represent the time to absorption for a finite st Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Markov chain Phase-type distribution Expectation–maximization algorithm Estimation theory Stochastic matrix Monte Carlo method Discrete phase-type distribution Statistics Markov models Probability and statistics
165	Model-based clustering of time-course RNA-seq data Man-Kee Maggie Chu and Wenqing He Department of Statistical and Actuarial Sciences, The University of Western Ontario, London, ON, CANADA Corresponding author: Man-Kee M Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:12 Machine learning Cluster analysis Estimation theory RNA Expectation–maximization algorithm Mixture model Hierarchical clustering Bioinformatics Gene expression profiling Statistics Biology Gene expression
166	Statistical Analysis of Competing Risks With Missing Causes of Failure 2 Isha Dewan1,3 and Uttara V. Naik-Nimbalkar 2 Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Survival analysis Exponential distribution Distribution Failure rate Expectation–maximization algorithm Continuous function Spectral theory of ordinary differential equations Normalisation by evaluation Statistics Mathematical analysis Mathematics
167	Multiplicative algorithms for maximum penalized likelihood inversion with nonnegative constraints and generalized error distributions Jun Ma Department of Statistics, Macquarie University Sydney, Australia Add to Reading List Source URL: stat.mq.edu.au Language: English - Date: 2009-07-18 23:01:17 Maximum likelihood Expectation–maximization algorithm Likelihood function Law of large numbers Parametric model Estimation theory Statistics Fisher information
168	An Introduction to Probability Models for Marketing Research Peter S. Fader University of Pennsylvania Bruce G. S. Hardie Add to Reading List Source URL: www.brucehardie.com Language: English - Date: 2014-06-22 12:18:44 M-estimators Bayesian statistics Maximum likelihood Likelihood function Statistical models Expectation–maximization algorithm Statistics Estimation theory Statistical theory
169	A Generalized Linear Model for Principal Component Analysis of Binary Data Andrew I. Schein Lawrence K. Saul Lyle H. Ungar Department of Computer and Information Science University of Pennsylvania Add to Reading List Source URL: www.andrewschein.com Language: English - Date: 2011-08-13 15:19:54 Estimation theory Linear algebra Matrix theory Principal component analysis Maximum likelihood Non-negative matrix factorization Expectation–maximization algorithm Logistic regression Biplot Statistics Regression analysis Multivariate statistics
170	Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning Mengqiu Wang and Christopher D. Manning Computer Science Department Stanford University Stanford, CAUSA Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2014-03-05 02:07:11 Computational linguistics Econometrics Bitext word alignment Machine translation Estimation theory Conditional random field Semi-supervised learning Named-entity recognition Expectation–maximization algorithm Statistics Machine learning Science

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