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Maximum likelihood
Results: 2166

#	Item
751	TECHNICAL REPORT CR-RD-AS[removed]BAYESIAN INTERPOLATION AND DECONVOLUTION G. LARRY BRETTHORST Washington University Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Estimation theory Bayesian statistics Probability and statistics Signal processing Deconvolution Maximum likelihood Interpolation Principle of maximum entropy Likelihood function Statistics Image processing Statistical theory
752	Consensus ranking under the exponential model Marina Meil˘a Department of Statistics University of Washington Seattle, WA 98195 Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2007-05-28 20:17:50 M-estimators Symbol Maximum likelihood Permutation Algebra Permutation pattern Mathematics Combinatorics Estimation theory
753	CS 195-5: Machine Learning Problem Set 1 Douglas Lanman [removed] 27 September 2006 Add to Reading List Source URL: mesh.brown.edu Language: English - Date: 2006-09-25 22:53:18 Estimation theory Least squares Statistical theory Linear least squares Linear regression Polynomial regression Maximum likelihood Loss function Statistics Regression analysis Econometrics
754	Computationally-intensive Econometrics using a Distributed Matrix-programming Language By Jurgen A. Doornik†, David F. Hendry, and Neil Shephard Nuffield College, University of Oxford, Oxford OX1 1NF, UK This paper rev Add to Reading List Source URL: www.nuff.ox.ac.uk Language: English - Date: 2001-11-05 17:13:24 Time series analysis Multivariate statistics Econometric model Neil Shephard Heteroscedasticity David Forbes Hendry Vector autoregression Maximum likelihood Markov chain Statistics Econometrics Fellows of the Econometric Society
755	Journal of Machine Learning Research[removed]1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:20 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
756	Mach Learn[removed]:127–160 DOI[removed]s10994[removed]x Mass estimation Kai Ming Ting · Guang-Tong Zhou · Fei Tony Liu · Swee Chuan Tan Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2013-09-06 18:14:23 Classical mechanics Mass Bayesian statistics Kernel density estimation Maximum likelihood Density estimation Probability density function Gaussian function Normal distribution Statistics Non-parametric statistics Estimation theory
757	Comparison of Optimal Location Estimators by Friedrich-Wilhelm Scholz Grad. (University of G¨ ottingen) 1965 Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 1998-04-21 09:06:24 Statistical inference M-estimators Robust statistics Estimator Invariant estimator Maximum likelihood Efficiency Normal distribution Variance Statistics Estimation theory Statistical theory
758	Moment-based Uniform Deviation Bounds for k-means and Friends Matus Telgarsky Sanjoy Dasgupta Computer Science and Engineering, UC San Diego {mtelgars,dasgupta}@cs.ucsd.edu Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2013-11-14 18:37:34 Normal distribution Central limit theorem Moment Maximum likelihood Statistics Mathematical analysis Probability theory
759	20 STATISTICAL LEARNING METHODS In which we view learning as a form of uncertain reasoning from observations. Add to Reading List Source URL: aima.cs.berkeley.edu Language: English - Date: 2002-11-14 11:01:47 Estimation theory Maximum likelihood Likelihood-ratio test Naive Bayes classifier Bayesian inference Conjugate prior Minimum description length Bayesian network Marginal likelihood Statistics Bayesian statistics Statistical theory
760	Journal of Machine Learning Research[removed]Submitted 4/00; Published[removed]Model Selection: Beyond the Bayesian/Frequentist Divide Isabelle Guyon Add to Reading List Source URL: www2.mta.ac.il Language: English - Date: 2009-12-11 08:50:58 Statistical theory Model selection Estimation theory Bayes factor Loss function Maximum likelihood Regularization Supervised learning Conjugate prior Statistics Machine learning Bayesian statistics

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