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Expectation–maximization algorithm
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#	Item
831	A New Approach to Analyzing Gene Expression Time Series Data Ziv Bar-Joseph Georg Gerber David K. Gifford Add to Reading List Source URL: www.psrg.csail.mit.edu Language: English - Date: 2003-05-27 14:50:50 Biochemistry Microarrays Bioinformatics Molecular biology Genetics Gene expression profiling Expectation–maximization algorithm Cluster analysis Ridge Biology Statistics Gene expression
832	The SAEM algorithm for non linear mixed effects models why does this stochastic algorithm demonstrate both nice theoretical and practical properties? Add to Reading List Source URL: www.pasiphic.calpoly.edu Language: English - Date: 2013-05-14 09:37:50 M-estimators Statistical models Maximum likelihood Parametric model Expectation–maximization algorithm Fisher information Statistics Estimation theory Statistical theory
833	Author manuscript, published in "Joint IEEE International Conference on Development and Learning an on Epigenetic Robotics (ICDL-EpiRob), Osaka : Japan (2013)" hal[removed], version[removed]Aug[removed]Robot Learning Simulta Add to Reading List Source URL: hal.archives-ouvertes.fr Language: English - Date: 2013-08-08 03:41:24 Estimation theory Cybernetics Expectation–maximization algorithm Missing data Algorithm Robotics Reinforcement learning Humanoid robot Speech recognition Statistics Machine learning Computational statistics
834	Theory Comput Syst DOI[removed]s00224[removed]Collaborate with Strangers to Find Own Preferences Baruch Awerbuch · Yossi Azar · Zvi Lotker · Boaz Patt-Shamir · Mark R. Tuttle Add to Reading List Source URL: www.markrtuttle.com Language: English - Date: 2007-10-07 00:00:00 Linear algebra Vector space Vectors Algorithm Euclidean algorithm Expectation–maximization algorithm Algebra Mathematics Group theory
835	Likelihood-based inference for probabilistic graphical models: Some preliminary results Marco E. G. V. Cattaneo Department of Statistics, LMU Munich, Germany [removed] Abstract Add to Reading List Source URL: www.helsinki.fi Language: English - Date: 2010-08-09 04:03:24 Likelihood function Confidence interval Bayes estimator Expectation–maximization algorithm Statistics Estimation theory Maximum likelihood
836	Delinquency and Gender* Guyonne Kalb Melbourne Institute of Applied Economic and Social Research The University of Melbourne and Add to Reading List Source URL: www.melbourneinstitute.com Language: English - Date: 2010-04-30 02:38:23 Childhood Crime Juvenile delinquency Social psychology Cohort study Expectation–maximization algorithm Sample Stratified sampling Statistics Sampling Criminology
837	Schedule South Carolina Chapter American Statistical Association 44th Annual Meeting SC-ASA Palmetto Symposium Add to Reading List Source URL: www.stat.sc.edu Language: English - Date: 2014-03-26 15:51:29 Statistical theory Estimation theory Expectation–maximization algorithm Missing data Bayesian inference Non-parametric statistics Prior probability Regression analysis Statistics Bayesian statistics Statistical inference
838	Random Walk Features for Network-aware Topic Models Ahmed Hefny, Geoffrey Gordon, Katia Sycara School of Computer Science Carnegie Mellon University 5000 Forbes Ave Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2013-11-07 21:06:10 Latent Dirichlet allocation Topic model Dirichlet distribution Expectation–maximization algorithm Dynamic topic model Probabilistic latent semantic analysis Statistics Statistical natural language processing Machine learning
839	Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model Myunghwan Kim Stanford University Stanford, CA 94305 Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2012-02-24 13:41:08 Maximum likelihood Expectation–maximization algorithm Likelihood function Kullback–Leibler divergence Likelihood-ratio test Attribute grammar Law of large numbers Statistics Estimation theory Statistical theory
840	The Network Completion Problem: Inferring Missing Nodes and Edges in Networks Myunghwan Kim∗ Abstract While the social and information networks have become ubiquitous, the challenge of collecting complete network Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2012-02-24 13:41:09 Mathematics Statistical theory Expectation–maximization algorithm Missing data Maximum likelihood Random graph Degree distribution Statistics Estimation theory Graph theory

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