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Principle of maximum entropy
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101	unpublished AMPLITUDE ESTIMATION IN NUCLEAR MAGNETIC RESONANCE DATA G. LARRY BRETTHORST Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Physics Unitary operators Digital signal processing Bayesian statistics Statistical theory Discrete Fourier transform Fourier transform Principle of maximum entropy Particle decay Mathematical analysis Fourier analysis Mathematics
102	in Infrared Systems and Components III, pp[removed], Robert L. Caswell ed., SPIE Vol. 1050, 1989 Bayesian Analysis of Signals from Closely-Spaced Objects G. Larry Bretthorst Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Gaussian function Estimation theory Bayesian probability Posterior probability Prior probability Bayesian inference Principle of maximum entropy Maximum likelihood Probability Statistics Bayesian statistics Probability and statistics
103	in Maximum Entropy and Bayesian Methods, Wolfgang von der Linden, et. al. eds., Kluwer, 1999. \THE NEAR-IRRELEVANCE OF SAMPLING FREQUENCY DISTRIBUTIONS1 " Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Statistical theory Statistical inference Principle of maximum entropy Estimation theory Prior probability Entropy Normal distribution Bayesian probability Central limit theorem Statistics Probability and statistics Bayesian statistics
104	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 Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Bayesian 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
105	22nd National Conference of the Australian Society for Operations Research, Adelaide, Australia, 1–6 December 2013 www.asor.org.au/conferences/asor2013 Modelling and simulation of seasonal rainfall Jon Borwein a , Phil Add to Reading List Source URL: www.asor.org.au Language: English - Date: 2013-11-24 18:45:42 Information theory Randomness Actuarial science Bayesian statistics Q-Q plot Gamma distribution Normal distribution Copula Principle of maximum entropy Statistics Probability and statistics Statistical theory
106	(This is a sample cover image for this issue. The actual cover is not yet available at this time.) This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non- Add to Reading List Source URL: aquamaps.org Language: English - Date: 2012-01-10 04:17:59 Biology AquaMaps Species distribution Common ling Receiver operating characteristic Principle of maximum entropy Pollachius virens Environmental niche modelling Fish Ecology Statistics
107	16 Density Estimation We’ve learned more and more about how to describe and fit functions, but the decision to fit a function can itself be unduly restrictive. Instead of assuming a noise model for the data (such as G Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-14 17:27:29 Estimation theory Bayesian statistics Expectation–maximization algorithm Missing data Normal distribution Kernel density estimation Entropy Maximum likelihood Principle of maximum entropy Statistics Statistical theory Non-parametric statistics
108	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 Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Bayesian probability Bayesian inference Prior probability Maximum likelihood Probability Normal distribution Principle of maximum entropy Acoustic resonance Normalizing constant Statistics Bayesian statistics Probability and statistics
109	MODELING SYSTEM VARIATION Ken Krechmer International Center for Standards Research, 757 Greer Road, Palo Alto, CA[removed]USA Email: [removed] Key words: Add to Reading List Source URL: www.csrstds.com Language: English - Date: 2005-10-11 16:36:51 Statistical theory Data Communication Philosophy of thermal and statistical physics Entropy Randomness Principle of maximum entropy Communications protocol Telecommunication Information theory Information Statistics
110	Whereof one cannot speak: When input distributions are unknown Scott Ferson Applied Biomathematics 100 North Country Road Add to Reading List Source URL: www.ramas.com Language: English - Date: 2012-02-22 14:15:39 Bayesian statistics Statistical theory Statistical inference Randomness Probability box Normal distribution Log-normal distribution Principle of maximum entropy Order statistic Statistics Probability and statistics Probability theory

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