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Maximum likelihood
Results: 2166

#	Item
611	Journal of Machine Learning Research1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:56 Latent Dirichlet allocation Probabilistic latent semantic analysis Mixture model Topic model Dirichlet distribution Expectation–maximization algorithm Multinomial distribution N-gram Maximum likelihood Statistics Probability and statistics Statistical natural language processing
612	k -nearest neighbor estimation of entropies with confidence Kumar Sricharan∗ , Raviv Raich+ , Alfred O. Hero III∗ ∗ + Add to Reading List Source URL: web.eecs.umich.edu Language: English - Date: 2011-06-27 15:46:00 Statistical inference Information theory Randomness Maximum likelihood Estimator Normal distribution Kernel density estimation Entropy Differential entropy Statistics Statistical theory Estimation theory
613	Fixed Size Confidence Regions for Parameters of Stationary Processes Based on a Minimum Contrast Estimator Takayuki Shiohama Institute of Economic Research, Hitotsubashi University, Naka 2-1, Kunitachi, Tokyo, J Add to Reading List Source URL: cis.ier.hit-u.ac.jp Language: English - Date: 2014-07-01 09:04:22 Spectral theory Parametric model Maximum likelihood Fisher information Spectral theory of ordinary differential equations Maximum spacing estimation Statistics Estimation theory Statistical theory
614	Variational approach for spatial point process intensity estimation Jean-François Coeurjolly1 and Jesper Møller2 1 Laboratory Jean Kuntzmann, Grenoble University, France , Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2012-09-24 05:12:35 Statistical theory Maximum likelihood Normal distribution Calculus of variations Statistics Estimation theory M-estimators
615	JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 109, B12308, doi:2004JB003235, 2004 Earthquake statistics at Parkfield: 2. Probabilistic forecasting and testing D. Schorlemmer and S. Wiemer Swiss Seismological Service, ET Add to Reading List Source URL: www.wapmerr.org Language: English - Date: 2014-05-16 15:13:50 Statistical theory Design of experiments Statistical inference Likelihood-ratio test Likelihood function Maximum likelihood Test statistic Statistical hypothesis testing Normal distribution Statistics Hypothesis testing Estimation theory
616	Learning N-Best Correction Models from Implicit User Feedback in a Multi-Modal Local Search Application Dan Bohus, Xiao Li, Patrick Nguyen, Geoffrey Zweig Microsoft Research One Microsoft Way Redmond, WA, 98052 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2008-07-01 12:33:18 Speech recognition Maximum likelihood Error detection and correction Matrix Humanâ€“computer interaction Statistics Science Computational linguistics Automatic identification and data capture Computer accessibility
617	Modeling Delayed Feedback in Display Advertising Olivier Chapelle Criteo Labs Palo Alto, CA Add to Reading List Source URL: olivier.chapelle.cc Language: English - Date: 2014-07-07 18:19:20 Statistical theory Statistical models Regression analysis Exponential distribution Maximum likelihood Lambda calculus Expectation–maximization algorithm Generalized linear model Statistics Estimation theory Poisson processes
618	Network A/B Testing: From Sampling to Estimation † † Huan Gui† Add to Reading List Source URL: web.engr.illinois.edu Language: English - Date: 2015-03-22 09:07:19 Statistical theory M-estimators Econometrics Estimator Bias of an estimator Linear regression Resampling Efficiency Maximum likelihood Statistics Estimation theory Statistical inference
619	Part A Statistics HT 2015 Problem Sheet 1 1. Let X1 , . . . , Xn be a random sample from a uniform distribution with probability density Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-01-13 11:05:42 Statistical theory Exponentials Q-Q plot Quantile Exponential distribution Order statistic Maximum likelihood Fisher information Weibull distribution Statistics Estimation theory Summary statistics
620	Learning Stochastic OT Grammars: A Bayesian approach using Data Augmentation and Gibbs Sampling Ying Lin∗ Department of Linguistics University of California, Los Angeles Los Angeles, CA 90095 Add to Reading List Source URL: dingo.sbs.arizona.edu Language: English - Date: 2005-05-03 02:03:46 Markov chain Monte Carlo Markov models Estimation theory Gibbs sampling Normal distribution Maximum likelihood Optimality theory Sampling distribution Random variable Statistics Statistical theory Probability and statistics

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