Normalizing constant

Results: 12



#Item
1Probability distributions / Probability theory / Probabilistic complexity theory / Monty Hall problem / Normalizing constant / Expected value / Normal distribution / Uniform distribution / Distribution / Probabilistic Turing machine

Under consideration for publication in J. Functional Programming 1 FUNCTIONAL PEARLS Probabilistic Functional Programming in Haskell

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Source URL: web.engr.oregonstate.edu

Language: English - Date: 2005-07-18 18:08:19
2Estimation theory / Poisson processes / Statistical theory / Exponential distribution / Bayesian inference / Information theory / Likelihood function / Normalizing constant / Marginal likelihood / Statistics / Bayesian statistics / Probability theory

Copyright Cambridge University PressOn-screen viewing permitted. Printing not permitted. http://www.cambridge.orgYou can buy this book for 30 pounds or $50. See http://www.inference.phy.cam.ac.uk/macka

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Source URL: www.inference.phy.cam.ac.uk

Language: English - Date: 2005-05-21 12:28:11
3Kullback–Leibler divergence / Regression analysis / Regularization / Metric space / Cross-validation / Statistical hypothesis testing / Normalizing constant / Statistics / Machine learning / Supervised learning

Machine Learning, 48, 51–84, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands.  Metric-Based Methods for Adaptive Model Selection and Regularization

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Source URL: webdocs.cs.ualberta.ca

Language: English - Date: 2005-06-24 16:48:47
4Computability theory / Descriptive complexity / Kolmogorov complexity / Kullback–Leibler divergence / Universal Turing machine / Normalizing constant / Theoretical computer science / Statistics / Applied mathematics

The Probability of “Undefined” (Non–Converging) Output in Generating the Universal Probability Distribution Ray J. Solomonoff Visiting Professor, Computer Learning Research Centre Royal Holloway, University of Lond

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Source URL: world.std.com

Language: English - Date: 2014-09-18 21:27:10
5Physics / Unitary operators / Bayesian statistics / Digital signal processing / Particle decay / Discrete Fourier transform / Normalizing constant / Probability / Fourier transform / Mathematical analysis / Mathematics / Fourier analysis

J. Magn. Reson., 98, pp[removed]BAYESIAN ANALYSIS V: AMPLITUDE ESTIMATION, MULTIPLE WELL SEPARATED SINUSOIDS

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Source URL: bayes.wustl.edu

Language: English - Date: 2010-12-21 17:21:39
6Bayesian probability / Principle of maximum entropy / Maximum likelihood / Bayesian inference / Prior probability / Estimation theory / Likelihood function / Normalizing constant / Edwin Thompson Jaynes / Statistics / Bayesian statistics / Probability and statistics

in Maximum-Entropy and Bayesian Methods in Science and Engineering, 1, pp[removed], G. J. Erickson and C. R. Smith Eds., Kluwer Academic Publishers, Dordrecht the Netherlands, 1988. Excerpts from Bayesian Spectrum Analysi

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Source URL: bayes.wustl.edu

Language: English - Date: 2010-12-21 17:21:39
7Bayesian probability / Bayesian inference / Prior probability / Maximum likelihood / Probability / Normal distribution / Principle of maximum entropy / Acoustic resonance / Normalizing constant / Statistics / Bayesian statistics / Probability and statistics

Frequency Estimation, Multiple Stationary Nonsinusoidal Resonances With Trend1 G. Larry Bretthorst Department of Chemistry, Washington University, St. Louis MO[removed]Abstract. In this paper, we address the problem of fre

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Source URL: bayes.wustl.edu

Language: English - Date: 2010-12-21 17:21:39
8Unitary operators / Digital signal processing / Integral transforms / Fourier transform / Posterior probability / Rayleigh distribution / Normalizing constant / Fourier series / Mathematical analysis / Joseph Fourier / Fourier analysis

doi:[removed]j.jmr[removed]

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Source URL: bayes.wustl.edu

Language: English - Date: 2010-12-21 17:21:39
9Statistical theory / Econometrics / Maximum likelihood / Bayes estimator / Gamma distribution / Consistent estimator / Confidence interval / Normal distribution / Conjugate prior / Statistics / Estimation theory / Statistical inference

Applied/Computational Ph.D. Exam August 20, [removed]Consider the distribution having probability density function f (x) = c · (x/θ) · I{0 ≤ x ≤ θ}, where c is a normalizing constant. Do the following: a. For a gi

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Source URL: www.stat.tamu.edu

Language: English - Date: 2010-11-03 15:59:00
10Statistical theory / Estimation theory / Normalizing constant / One / Probability theory

A Critical Examination of TDT’s Cost Function ∗ R. Manmatha, Ao Feng and James Allan Center for Intelligent Information Retrieval Department of Computer Science University of Massachusetts Amherst, MA 01003

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Source URL: ciir.cs.umass.edu

Language: English - Date: 2002-10-22 09:56:38
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