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Likelihood function
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1	Likelihood Function .... Method of Moments ........... Add to Reading List Source URL: genome.sph.umich.edu Language: English - Date: 2013-02-13 17:26:16
2	NOISE ROBUST SPEECH RECOGNITION USING GAUSSIAN BASIS FUNCTIONS FOR NON-LINEAR LIKELIHOOD FUNCTION APPROXIMATION Chris Pal½ ¾ , Brendan Frey½ ¾ and Trausti Kristjansson ½ ¾ ½ ¾ Add to Reading List Source URL: www.professeurs.polymtl.ca Language: English - Date: 2009-02-23 15:10:30
3	The shape of the one-dimensional phylogenetic likelihood function Add to Reading List Source URL: matsen.fhcrc.org Language: English - Date: 2018-06-27 12:49:21
4	Is Bayes posterior just quick and dirty confidence? D.A.S. Fraser March 9, 2009 Abstract Bayesintroduced the observed likelihood function to statistical inference and provided a weight function to calibrate the p Add to Reading List Source URL: fisher.utstat.toronto.edu - Date: 2012-04-02 13:00:54
5	On the Application of Automatic Differentiation to the Likelihood Function for Dynamic General Equilibrium Models Add to Reading List Source URL: www.federalreserve.gov - Date: 2008-02-27 10:34:50
6	Annex A: Comparison of AR4 and AR5 Approaches1 The “Guidance Notes for Lead Authors of the AR4 on Addressing Uncertainties,” finalized in July 2005 and made available to all AR4 authors, outlined qualitative and quan Add to Reading List Source URL: wg1.ipcc.ch Language: English - Date: 2014-08-18 09:11:52 Intergovernmental Panel on Climate Change Climatology Physical geography Natural environment IPCC Fifth Assessment Report IPCC Fourth Assessment Report Likelihood function Probability Uncertainty Effects of global warming
7	CHAPTER 5 Estimating an Examinee’s Ability 84 Add to Reading List Source URL: echo.edres.org Language: English - Date: 2003-02-12 10:18:38 Psychometrics Education Statistics Evaluation Item response theory Maximum likelihood estimation Test score Likelihood function Attribute hierarchy method
8	RMM Vol. 2, 2011, 48–66 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Stephen Senn Add to Reading List Source URL: www.rmm-journal.com Language: English - Date: 2011-09-26 02:42:15 Statistics Statistical theory Statistical inference Knowledge Philosophy of science Psychometrics Probability interpretations Bayesian Inverse probability Likelihood function Ronald Fisher Foundations of statistics
9	Mean Field Variational Approximations in Continuous-Time Markov Processes A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:20 Bayesian statistics Statistics Graphical models Probability Markov models Bayesian network Probability distribution Markov chain Expectation propagation Approximate inference Likelihood function Hidden Markov model
10	Scalable Training of Mixture Models via Coresets Dan Feldman MIT Matthew Faulkner Add to Reading List Source URL: eew.caltech.edu Language: English - Date: 2012-05-15 11:47:37 Statistics Probability Maximum likelihood estimation Probability distributions Bayesian statistics Expectationmaximization algorithm Mixture model Normal distribution K-means clustering Likelihood function Data stream clustering Gamma distribution

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