Maximum a posteriori estimation

Results: 42



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11Loss Distribution Estimation, Scenario Data and Bayesian Inference

Loss Distribution Estimation, Scenario Data and Bayesian Inference

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Source URL: www.bostonfed.org

Language: English - Date: 2007-11-20 17:27:49
12Discussion Article  Discussion Andreas BUJA Gelman’s article is a thought-provoking mix of opinions and creative methodology. I agree with Gelman that the disjunction of models and exploratory data analysis (EDA)

Discussion Article Discussion Andreas BUJA Gelman’s article is a thought-provoking mix of opinions and creative methodology. I agree with Gelman that the disjunction of models and exploratory data analysis (EDA)

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Source URL: stat.wharton.upenn.edu

Language: English - Date: 2007-10-12 12:46:12
13A Fusion of Maximum Likelihood and Structural Steganalysis Andrew D. Ker Oxford University Computing Laboratory, Parks Road, Oxford OX1 3QD, England

A Fusion of Maximum Likelihood and Structural Steganalysis Andrew D. Ker Oxford University Computing Laboratory, Parks Road, Oxford OX1 3QD, England

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Source URL: www.cs.ox.ac.uk

Language: English - Date: 2008-04-17 10:32:29
14MAXIMUM CONDITIONAL LIKELIHOOD LINEAR REGRESSION AND MAXIMUM A POSTERIORI FOR HIDDEN CONDITIONAL RANDOM FIELDS SPEAKER ADAPTATION Yun-Hsuan Sung,1 Constantinos Boulis,2 Dan Jurafsky3 Electrical Engineering,1 Linguistics2

MAXIMUM CONDITIONAL LIKELIHOOD LINEAR REGRESSION AND MAXIMUM A POSTERIORI FOR HIDDEN CONDITIONAL RANDOM FIELDS SPEAKER ADAPTATION Yun-Hsuan Sung,1 Constantinos Boulis,2 Dan Jurafsky3 Electrical Engineering,1 Linguistics2

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Source URL: nlp.stanford.edu

Language: English - Date: 2008-04-28 14:26:34
15The Optimality of Naive Bayes Harry Zhang Faculty of Computer Science University of New Brunswick Fredericton, New Brunswick, Canada E3B 5A3

The Optimality of Naive Bayes Harry Zhang Faculty of Computer Science University of New Brunswick Fredericton, New Brunswick, Canada E3B 5A3

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Source URL: chem-eng.utoronto.ca

Language: English - Date: 2011-03-26 12:00:06
16Statistical Models David M. Blei Columbia University October 14, 2014  We have discussed graphical models. Graphical models are a formalism for representing families of probability distributions. They are connected to ef

Statistical Models David M. Blei Columbia University October 14, 2014 We have discussed graphical models. Graphical models are a formalism for representing families of probability distributions. They are connected to ef

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:19
17Math Geosci DOIs11004y History Matching Through a Smooth Formulation of Multiple-Point Statistics Yulia Melnikova · Andrea Zunino ·

Math Geosci DOIs11004y History Matching Through a Smooth Formulation of Multiple-Point Statistics Yulia Melnikova · Andrea Zunino ·

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Source URL: www.nbi.dk

Language: English - Date: 2015-05-05 07:36:22
18Centre de Recherche en Economie Publique et de la Population  CREPP WP NoNonlinear Panel Data Models with Expected a Posteriori Values of Correlated Random Amaresh Tiwari

Centre de Recherche en Economie Publique et de la Population CREPP WP NoNonlinear Panel Data Models with Expected a Posteriori Values of Correlated Random Amaresh Tiwari

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Source URL: www2.ulg.ac.be

Language: English - Date: 2011-12-13 05:31:15
19Theory and Dynamics of Perceptual Bistability  Paul R. Schrater∗ Departments of Psychology and Computer Sci. & Eng. University of Minnesota Minneapolis, MN 55455

Theory and Dynamics of Perceptual Bistability Paul R. Schrater∗ Departments of Psychology and Computer Sci. & Eng. University of Minnesota Minneapolis, MN 55455

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Source URL: outobox.cs.umn.edu

Language: English - Date: 2006-11-22 23:08:30
20Hydrol. Earth Syst. Sci., 15, 3701–3713, 2011 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License.  Hydrology and

Hydrol. Earth Syst. Sci., 15, 3701–3713, 2011 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Hydrology and

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Source URL: www.hydrol-earth-syst-sci.net

Language: English - Date: 2014-12-04 03:00:15