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Likelihood function
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#	Item
761	The EM Algorithm Michael Collins Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2011-01-10 23:38:21 Maximum likelihood Likelihood function Normal distribution Exponential family Logarithm Mixture model M-estimator Statistics Estimation theory Expectation–maximization algorithm
762	Duchesne et al. BMC Medical Research Methodology 2014, 14:2 http://www.biomedcentral.com[removed]TECHNICAL ADVANCE Open Access Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Condom Binomial regression Linear regression Binomial options pricing model Logistic regression Statistical inference Statistical power Female condom Likelihood function Statistics Regression analysis Proportional hazards models
763	A Tutorial on Learning With Bayesian Networks David Heckerman [removed] Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2001-10-10 19:48:06 Bayesian probability Bayesian inference Bayesian network Prior probability Conjugate prior Probability interpretations Likelihood function Probability Bayes factor Statistics Bayesian statistics Probability and statistics
764	Sankhy¯ a : The Indian Journal of Statistics 2009, Volume 71-A, Part 2, pp[removed] Add to Reading List Source URL: stoch.fmi.uni-passau.de Language: English - Date: 2010-04-14 08:49:33 Expectation–maximization algorithm M-estimator Normal distribution Mixture model Estimator Parametric model Likelihood function Statistics Estimation theory Maximum likelihood
765	Foundations and Trends R in Signal Processing Vol. 4, No[removed]–296 Add to Reading List Source URL: jcnts.files.wordpress.com Language: English - Date: 2011-04-17 21:39:34 Maximum likelihood M-estimator Likelihood function Generalized method of moments Kullback–Leibler divergence Mixture model Fisher information Extremum estimator Statistics Estimation theory Expectation–maximization algorithm
766	ISyE8843A, Brani Vidakovic 1 Add to Reading List Source URL: www2.isye.gatech.edu Language: English - Date: 2005-09-23 19:09:25 Statistical inference Likelihood principle Measurement Econometrics Maximum likelihood Likelihood function Sufficient statistic Confidence interval Score Statistics Estimation theory Statistical theory
767	BoltzRank: Learning to Maximize Expected Ranking Gain Maksims N. Volkovs Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:51 Ranking function Discounted cumulative gain Precision and recall Relevance Normal distribution Search engine indexing IR evaluation Uncertain inference Query likelihood model Information science Information retrieval Learning to rank
768	Note: Maximum Likelihood Estimation for Markov Chains[removed], Spring 2009 Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2009-01-28 15:43:14 Maximum likelihood Fisher information Markov chain Sufficient statistic Likelihood function Exponential family Statistics Estimation theory Statistical theory
769	Introductory note to 1928 Mark E. Glickman∗ Department of Health Policy and Management Add to Reading List Source URL: www.glicko.net Language: English - Date: 2011-06-18 18:34:31 Ernst Zermelo Law of comparative judgment Pairwise comparison Louis Leon Thurstone Chess Computer chess Likelihood function Mathematical logic Outline of chess Games Psychometrics Estimation theory
770	Bayesian Adaptive Designs for Clinical Trials By YI CHENG Department of Mathematical Sciences, Indiana University, Add to Reading List Source URL: www.mdanderson.org Language: English - Date: 2014-02-06 06:48:50 Econometrics Decision theory Loss function Likelihood principle Statistics Statistical theory Estimation theory

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