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Titlebook: Maximum-Entropy and Bayesian Spectral Analysis and Estimation Problems; Proceedings of the T C. Ray Smith,Gary J. Erickson Conference proce

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书目名称Maximum-Entropy and Bayesian Spectral Analysis and Estimation Problems
副标题Proceedings of the T
编辑C. Ray Smith,Gary J. Erickson
视频video
丛书名称Fundamental Theories of Physics
图书封面Titlebook: Maximum-Entropy and Bayesian Spectral Analysis and Estimation Problems; Proceedings of the T C. Ray Smith,Gary J. Erickson Conference proce
描述This volume has its origin in the third ·Workshop on Maximum-Entropy and Bayesian Methods in Applied Statistics,· held at the University of Wyoming, August 1 to 4, 1983. It was anticipated that the proceedings of this workshop could not be prepared in a timely fashion, so most of the papers were not collected until a year or so ago. Because most of the papers are in the nature of advancing theory or solving specific problems, as opposed to status reports, it is believed that the contents of this volume will be of lasting interest to the Bayesian community. The workshop was organized to bring together researchers from differ­ ent fields to examine critically maximum-entropy and Bayesian methods in science, engineering, medicine, economics, and other disciplines. Some of the papers were chosen specifically to kindle interest in new areas that may offer new tools or insight to the reader or to stimulate work on pressing problems that appear to be ideally suited to the maximum-entropy or Bayes­ ian method.
出版日期Conference proceedings 1987
关键词algorithms; applied statistics; maximum entropy method; probability; statistics
版次1
doihttps://doi.org/10.1007/978-94-009-3961-5
isbn_softcover978-94-010-8257-0
isbn_ebook978-94-009-3961-5Series ISSN 0168-1222 Series E-ISSN 2365-6425
issn_series 0168-1222
copyrightD. Reidel Publishing Company, Dordrecht, Holland 1987
The information of publication is updating

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Relative-Entropy Minimization with Uncertain Constraints: Theory and Application to Spectrum Analys consists of an . estimate p and additional . information that restricts q† to a specified convex set of probability densities. Typically the constraint information consists of linear-equality constraints, that is, expected values.for known f.(x) and ., r = 0,1,…,M. The principle states that one sho
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On the Accuracy of Spectrum Analysis of Red Noise Processes Using Maximum Entropy and Periodogram Mies. The times series are computer generated by passing Gaussian white noise through low-pass filters with precisely defined magnitude response curves such that the output time series have power law spectra in a limited frequency range: P(f) = Af ., f. ≤ f ≤ f.. Ten different values of p between 0.5
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Maximum Entropy in Structural Molecular Biology: The Fiber Diffraction Phase Problem,tern. Native and heavy atom derivative data, although insufficient for the usual multiple isomorphous replacement method, are used in combination with a constraint on the maximum particle radius, and with a constraint on the maximum electron density enforced by a “Fermi-Dirac” form of entropy. The p
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