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Likelihood function
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#	Item
261	An Introduction to Probability Models for Marketing Research Peter S. Fader University of Pennsylvania Bruce G. S. Hardie Add to Reading List Source URL: www.brucehardie.com Language: English - Date: 2013-07-16 16:45:35 M-estimators Bayesian statistics Maximum likelihood Likelihood function Statistical models Expectation–maximization algorithm Statistics Estimation theory Statistical theory
262	Learning Motion Patterns of People for Compliant Robot Motion Maren Bennewitz† Grzegorz Cielniak‡ † Add to Reading List Source URL: hrl.informatik.uni-freiburg.de Language: English - Date: 2004-03-30 10:22:04 Likelihood function 3D scanner Dimensional analysis Statistics Estimation theory Expectation–maximization algorithm
263	Limit distribution theory for maximum likelihood estimation of a log-concave density Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2009-04-15 10:20:28 Statistical theory Convex function Concave function Statistics Mathematics Control theory Convex analysis Estimation theory Maximum likelihood
264	Gaussian Process Preference Elicitation Edwin V. Bonilla, Shengbo Guo, Scott Sanner NICTA & ANU, Locked Bag 8001, Canberra ACT 2601, Australia {edwin.bonilla, shengbo.guo, scott.sanner}@nicta.com.au Abstract Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2010-11-05 21:14:04 Statistical theory Econometrics Information systems Normal distribution Preference elicitation Loss function Collaborative filtering Likelihood function Gaussian process Statistics Estimation theory Bayesian statistics
265	Information bounds for Gaussian copulas Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2014-03-04 18:56:11 Bayesian statistics M-estimators Maximum likelihood Copula Marginal likelihood Fisher information Likelihood function Multivariate normal distribution Parametric model Statistics Estimation theory Statistical theory
266	Integrating confidence intervals, likelihoods and confidence distributions Tor Schweder∗, Nils L. Hjort University of Oslo, Norway Abstract Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Statistical theory Bayesian statistics Confidence interval Measurement Likelihood function Normal distribution Fiducial inference Statistics Statistical inference Estimation theory
267	Microsoft Word - hmm_calc.doc Add to Reading List Source URL: www.robertnz.net Language: English - Date: 2010-02-24 03:25:21 Differential calculus Mathematics M-estimators Statistical theory Maximum likelihood Automatic differentiation Likelihood function Normal distribution Derivative Estimation theory Statistics Mathematical analysis
268	Testing for Informativeness in Analytic Inference from Complex Surveys 3 F. Jay Breidt1,3 , Jean D. Opsomer1 , Wade Herndon1 , Ricard Cao2 , Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Statistical inference Statistical theory Regression analysis Linear regression Likelihood function Confidence interval Maximum likelihood Fisher information Akaike information criterion Statistics Estimation theory Econometrics
269	Probability Models for Customer-Base Analysis Peter S. Fader University of Pennsylvania www.petefader.com Add to Reading List Source URL: www.brucehardie.com Language: English - Date: 2007-03-11 14:55:14 Maximum likelihood Likelihood function Extremum estimator Expectation–maximization algorithm Estimation theory Statistics Statistical theory
270	Fast Subset Scan for Multivariate Spatial Biosurveillance Daniel B. Neill, Edward McFowland III, Huanian Zheng Event and Pattern Detection Laboratory Carnegie Mellon University E-mail: Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-05-20 15:46:45 Statistical theory Likelihood-ratio test Resampling Maximum likelihood Likelihood function Statistics Statistical tests Estimation theory

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