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Likelihood
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#	Item
461	Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets Diederik P. Kingma Max Welling Machine Learning Group, University of Amsterdam Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-05-14 15:18:52 Statistical models Statistical theory Statistical inference Expectation–maximization algorithm Bayesian network Gibbs sampling Normal distribution Maximum likelihood Latent variable Statistics Bayesian statistics Estimation theory
462	8 Gbit/s Read-Write Analyzer RWA 4000 Works with GSA 6000 series digital signal analyzers  Up to 8 Gbit/s maximum write data rate (RWA 4008 model) Add to Reading List Source URL: www.guzik.com Language: English - Date: 2011-08-10 14:58:40 PCI Express Bandwidth Computer hardware Partial Response Maximum Likelihood Hard disk drive
463	Measuring Convergence using Dynamic Equilibrium Models: Evidence from Chinese Provinces∗ Lei Pan(a) , Olaf Posch(b,c) and Michel van der Wel(c,d) (a) Wageningen University (b) Aarhus University, (c) CREATES, (d) Add to Reading List Source URL: www.oposch.com Language: English - Date: 2012-05-30 13:00:12 Economic growth Neoclassical growth model Estimation theory Maximum likelihood Convergence Series Statistics Macroeconomics Economics Statistical theory
464	Approximate Parameter Learning in Discriminative Fields Sanjiv Kumar and Martial Hebert The Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:54 M-estimators Econometrics Bayesian statistics Maximum likelihood Likelihood function Loss function Statistics Estimation theory Statistical theory
465	Bayesian K-Means as a “Maximization-Expectation” Algorithm October 18, 2007 Abstract Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2007-10-18 14:00:50 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
466	Continuous Time Stochastic Modeling in R User’s Guide and Reference Manual CTSM-R Development Team CTSM-R Version 1.0.0 Add to Reading List Source URL: ctsm.info Language: English - Date: 2015-04-17 10:25:27 Markov models Maximum likelihood Scientific modelling Likelihood function R Kalman filter Akaike information criterion Statistics Estimation theory Statistical theory
467	THE CONQUEST OF SOUTH AMERICAN INFLATION THOMAS SARGENT, NOAH WILLIAMS, AND TAO ZHA Abstract. We infer determinants of Latin American hyperinflations and stabilizations by using the method of maximum likelihood to estima Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:03:44
468	Model Selection in Compositional Spaces by Roger Baker Grosse B.S., Stanford UniversityM.S., Stanford University (2008) Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-06-03 15:15:50 Bayesian statistics Statistical models Generative model Bayes factor Variational Bayesian methods Variational message passing Marginal likelihood Supervised learning Gibbs sampling Statistics Machine learning Probability and statistics
469	1792 • The Journal of Neuroscience, January 28, 2015 • 35(4):1792–1805 Behavioral/Cognitive Neural Mechanisms for Integrating Prior Knowledge and Likelihood in Value-Based Probabilistic Inference Add to Reading List Source URL: psych.nyu.edu Language: English - Date: 2015-02-23 11:10:34 Bayesian statistics Statistical inference Model selection Likelihood function Bootstrapping Prior probability Bayesian information criterion Maximum a posteriori estimation Statistical power Statistics Estimation theory Bayesian inference
470	DUTH does Probabilities of Relevance at the Legal Track ∗ Dim P. Papadopoulos Vicky S. Kalogeiton Avi Arampatzis Add to Reading List Source URL: www.aviarampatzis.com Language: English - Date: 2011-03-01 11:30:28 Natural language processing Statistical theory Computational linguistics Relevance feedback Text Retrieval Conference Relevance Precision and recall Statistical inference Maximum likelihood Science Information Information retrieval

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