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Likelihood function
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351	Veran_LebretonTG-17feb08.dvi Add to Reading List Source URL: www.soest.hawaii.edu Language: English - Date: 2011-01-12 20:59:58 Linear filters Survival analysis Mark and recapture Albatross Likelihood function Kalman filter Deviance Statistics Estimation theory Bayesian statistics
352	(To appear in W. Mann, ed., Blackwell Guide to Philosophy of Religion) The Design Argument Elliott Sober1 The design argument is one of three main arguments for the existence of God; the others are the ontological argume Add to Reading List Source URL: www.talkreason.org Language: English - Date: 2002-11-03 23:28:36 Creationist objections to evolution Hypothesis testing Religion Estimation theory Bayesian statistics Likelihood principle Statistical hypothesis testing Likelihood function Watchmaker analogy Statistics Science Intelligent design
353	Parametric Joint Detection-Estimation of the Number of Sources in Array Processing Noam Arkind, Boaz Nadler Department of Computer Science and Applied Mathematics Weizmann Institute of Science Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2010-07-29 16:06:17 Maximum likelihood Statistical inference Likelihood function Parametric model Bayes estimator Estimation theory Statistics Statistical theory
354	Notes 11 Statistical Machine Learning Probabilistic Learning Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:37 Maximum likelihood Fisher information Normal distribution Multivariate normal distribution Likelihood function Kullback–Leibler divergence Bias of an estimator Support Expectation–maximization algorithm Statistics Estimation theory Statistical theory
355	6.867 Machine learning, lecture 12 (Jaakkola) 1 Lecture topics: model selection criteria • Feature subset selection (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Estimation theory Statistical theory Information theory Naive Bayes classifier Mutual information Likelihood function Loss function Statistics Bayesian statistics Statistical classification
356	6.867 Machine learning, lecture 11 (Jaakkola) 1 Lecture topics: model selection criteria • Minimum description length (MDL) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Statistical theory M-estimators Bayesian statistics Information Maximum likelihood Mutual information Likelihood function Minimum description length Conditional entropy Estimation theory Information theory Statistics
357	egu_logo_without_circle_grey Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 03:41:47 Model selection Hydrology Estimation theory GLUE Approximate Bayesian computation Bayes factor Likelihood function Akaike information criterion Statistical inference Statistics Bayesian statistics Statistical theory
358	Maximum likelihood estimation of the equity premium Efstathios Avdis Jessica A. Wachter∗ Add to Reading List Source URL: finance.wharton.upenn.edu Language: English - Date: 2014-05-29 14:42:15 Maximum likelihood Ordinary least squares Standard deviation Estimator Normal distribution Standard error Likelihood function Unit root Point estimation Statistics Estimation theory Linear regression
359	6.867 Machine learning, lecture 22 (Jaakkola) 1 Lecture topics: • Learning Bayesian networks from data Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Maximum likelihood Marginal likelihood Conjugate prior Likelihood function Bayesian statistics Statistics Bayesian network
360	A prior predictive loss function for the evaluation of inequality constrained hypotheses Add to Reading List Source URL: rensvandeschoot.files.wordpress.com Language: English - Date: 2014-06-03 07:54:10 Econometrics Design of experiments Fisher information Information theory Loss function Score Maximum likelihood Estimation theory Statistics Statistical theory

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