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Likelihood function
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#	Item
441	The Assumption of Class-Conditional Independence in Category Learning Jana Jarecki ([removed])∗ Bj¨orn Meder ([removed])∗ Jonathan D. Nelson ([removed])∗ ∗ Center Add to Reading List Source URL: mindmodeling.org Language: English - Date: 2013-07-15 14:54:32 Causality Machine learning Probability Likelihood function Random naive Bayes One-shot learning Bayesian statistics Statistics Naive Bayes classifier
442	The Assumption of Class-Conditional Independence in Category Learning Jana Jarecki ([removed])∗ Bj¨orn Meder ([removed])∗ Jonathan D. Nelson ([removed])∗ ∗ Center Add to Reading List Source URL: www.jonathandnelson.com Language: English - Date: 2013-05-02 18:50:57 Causality Machine learning Probability Likelihood function Random naive Bayes One-shot learning Bayesian statistics Statistics Naive Bayes classifier
443	Microsoft Word - StatisticalXDecisionXTheory.doc Add to Reading List Source URL: probability.ca Language: English - Date: 2005-04-25 11:25:32 Decision theory Econometrics Statistical inference Loss function Bayes estimator Probability theory Decision rule Fisher information Maximum likelihood Statistics Estimation theory Statistical theory
444	Idescat. SORT. Hurdle negative binomial regression model with right censored count data. Volume 36 (2) Add to Reading List Source URL: www.idescat.cat Language: English - Date: 2012-12-20 06:07:50 Categorical data Estimation theory Statistical models Poisson regression Binomial regression Maximum likelihood Negative binomial distribution Tobit model Likelihood function Statistics Regression analysis Econometrics
445	Statistics & Operations Research c Institut d’Estad´ıstica de Catalunya Transactions Add to Reading List Source URL: www.idescat.cat Language: English - Date: 2010-11-29 02:39:02 Survival analysis Statistical theory Statistical models Maximum likelihood Likelihood function Weibull distribution Gamma distribution Proportional hazards models Parametric model Statistics Estimation theory Regression analysis
446	Idescat. SORT. Double bounded Kumaraswamy-power series class of distributions. Volume 37 (2) Add to Reading List Source URL: www.idescat.cat Language: English - Date: 2013-12-30 06:43:39 Maximum likelihood Moment-generating function Extremum estimator Bayes estimator Statistics Estimation theory Statistical theory
447	Collaborative Place Models Anonymous Author 1 Unknown Institution 1 Anonymous Author 2 Add to Reading List Source URL: www.berkkapicioglu.com Language: English - Date: 2013-11-30 18:09:35 Mixture model Generalized method of moments Likelihood function Estimation theory Statistics Probability and statistics
448	Probabilistic Matrix Factorization with Non-random Missing Data Jos´e Miguel Hern´andez-Lobato Neil Houlsby Zoubin Ghahramani University of Cambridge, Department of Engineering, Cambridge CB2 1PZ, UK Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2014-07-12 13:30:33 Econometrics Expectation–maximization algorithm Missing data Maximum likelihood Loss function Statistics Estimation theory Statistical theory
449	Discussion Paper No[removed]Estimation of Dynamic Discrete Choice Models by Maximum Likelihood and the Simulated Method of Moments Philipp Eisenhauer, James J. Heckman, Add to Reading List Source URL: ftp.zew.de Language: English - Date: 2014-10-22 06:57:25 Maximum likelihood Method of simulated moments Structural estimation M-estimator Discrete choice Choice modelling Likelihood function Statistics Estimation theory Economics
450	Automatic estimation of flux distributions of astrophysical source populations Add to Reading List Source URL: hea-www.harvard.edu Language: English - Date: 2014-10-24 13:25:43 Statistical models Bayesian statistics Expectation–maximization algorithm Missing data Maximum likelihood Log-normal distribution Power law Likelihood function Parametric model Statistics Estimation theory Statistical theory

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