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Maximum likelihood estimation
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291	Submitted to the Statistical Science A unified framework for high-dimensional analysis of M -estimators with decomposable regularizers Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-06-03 10:52:44 Econometrics Statistical inference Regression analysis Maximum likelihood Parametric model Linear regression Consistent estimator Matrix norm Loss function Statistics Estimation theory Statistical theory
292	Another Statistical Paradox Eric-Jan Wagenmakers1 , Michael Lee2 , Jeﬀ Rouder3 , Richard Morey4 1 University of Amsterdam 2 University of Califoria at Irvine 3 University of Missouri 4 University of Groningen Add to Reading List Source URL: www.ejwagenmakers.com Language: English - Date: 2014-10-17 04:29:47 Bayesian statistics Statistical theory Psychometrics Confidence interval Likelihood function Maximum likelihood Credible interval Bayes factor Interval estimation Statistics Statistical inference Estimation theory
293	Variational Bounds for Mixed-Data Factor Analysis Mohammad Emtiyaz Khan University of British Columbia Vancouver, BC, Canada V6T 1Z4 Add to Reading List Source URL: people.cs.ubc.ca Language: English - Date: 2010-11-01 11:54:31 Bayesian statistics Expectation–maximization algorithm Missing data Statistical natural language processing Mixture model Latent variable model Conjugate prior Maximum likelihood Exponential family Statistics Statistical models Estimation theory
294	Statistics 580 The EM Algorithm Introduction The EM algorithm is a very general iterative algorithm for parameter estimation by maximum likelihood when some of the random variables involved are not observed i.e., conside Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English M-estimators Expectation–maximization algorithm Missing data Maximum likelihood Sufficient statistic Statistics Estimation theory Statistical theory
295	Lecture 39: The method of moments The method of moments is the oldest method of deriving point estimators. It almost always produces some asymptotically unbiased estimators, although they may not be the best estimators. Add to Reading List Source URL: www.stat.wisc.edu Language: English - Date: 2008-09-02 18:49:43 Statistical inference Consistent estimator Completeness Bias of an estimator Sufficient statistic Law of large numbers Estimator Minimum-variance unbiased estimator Maximum likelihood Statistics Estimation theory Statistical theory
296	On Estimation of Functional Causal Models: Post-Nonlinear Causal Model as an Example Kun Zhang, Zhikun Wang, Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2014-01-15 07:09:56 Statistical theory M-estimators Information theory Additive white Gaussian noise Maximum likelihood Mutual information Expectation–maximization algorithm Regression analysis Log-normal distribution Statistics Estimation theory Econometrics
297	Stochastic Approach to Secret Message Length Estimation in ±k Embedding Steganography Taras Holotyak, aJessica Fridrich∗ , and bDavid Soukal a Department of Electrical and Computer Engineering b Add to Reading List Source URL: www.ws.binghamton.edu Language: English - Date: 2006-04-26 08:10:16 Mathematical analysis Statistical inference Statistical theory Steganography Steganalysis Embedding Maximum likelihood Wavelet transform Maximum a posteriori estimation Statistics Estimation theory Mathematics
298	Globally Optimal Crowdsourcing Quality Management Akash Das Sarma Aditya G. Parameswaran Jennifer Widom Add to Reading List Source URL: web.engr.illinois.edu Language: English - Date: 2014-12-01 02:22:52 Mathematical sciences Maximum likelihood Expectation–maximization algorithm Algorithm PP Likelihood function Statistics Estimation theory Applied mathematics
299	Dynamic Attraction Models for Cultural Choice Victor Mart´ınez-de-Alb´eniz∗ Anna S´aez-de-Tejada† Submitted: September 8, 2014. Add to Reading List Source URL: webprofesores.iese.edu Language: English - Date: 2014-09-08 04:36:58 Expectation–maximization algorithm Choice modelling Linear regression Likelihood function Estimator Statistics Estimation theory Maximum likelihood
300	Internet Appendix for “Measuring the ‘Dark Matter’ in Asset Pricing Models” Hui Chen Winston Wei Dou Add to Reading List Source URL: www.mit.edu Language: English - Date: 2013-09-17 22:10:17 Statistical inference Econometrics Maximum likelihood Normal distribution Confidence interval Fisher information Statistics Estimation theory Statistical theory

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