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Maximum likelihood
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#	Item
231	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
232	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
233	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
234	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
235	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
236	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
237	ESTIMATION OF UNNORMALIZED STATISTICAL MODELS WITHOUT NUMERICAL INTEGRATION Michael U. Gutmann1,3 and Aapo Hyv¨arinen1,2,3 1 Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2013-08-15 22:08:43 Maximum likelihood Parametric model Likelihood function Exponential family Consistent estimator Score Fisher information Extremum estimator Estimation theory Statistics Statistical theory
238	DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification Simon Lacoste-Julien Computer Science Division UC Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-01-10 00:13:43 Statistical classification Statistical models Information retrieval Latent Dirichlet allocation Linear discriminant analysis Probabilistic latent semantic analysis Mixture model Topic model Maximum likelihood Statistics Statistical natural language processing Machine learning
239	Predicting Simulation Parameters of Biological Systems using a Gaussian Process Model Xiangxin Zhu, Max Welling Fang Jin, John Lowengrub Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-02-01 21:23:55 Statistical theory Statistical models Normal distribution Parametric model Regression analysis Gaussian process Expectation–maximization algorithm Maximum likelihood Statistics Estimation theory Econometrics
240	Microsoft PowerPoint - SteveZech [Compatibility Mode] Add to Reading List Source URL: www.csss.washington.edu Language: English - Date: 2009-07-06 17:47:33 Regression analysis Model selection Maximum likelihood Statistical theory Cross-validation Statistical power Logistic regression Statistics Estimation theory M-estimators

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