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Titlebook: Maximum-Entropy and Bayesian Methods in Science and Engineering; Volume 2: Applicatio Gary J. Erickson,C. Ray Smith Book 1988 Kluwer Academ

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書目名稱Maximum-Entropy and Bayesian Methods in Science and Engineering
副標(biāo)題Volume 2: Applicatio
編輯Gary J. Erickson,C. Ray Smith
視頻videohttp://file.papertrans.cn/628/627921/627921.mp4
叢書名稱Fundamental Theories of Physics
圖書封面Titlebook: Maximum-Entropy and Bayesian Methods in Science and Engineering; Volume 2: Applicatio Gary J. Erickson,C. Ray Smith Book 1988 Kluwer Academ
描述This volume has its origin in the Fifth, Sixth and Seventh Workshops on "Maximum-Entropy and Bayesian Methods in Applied Statistics", held at the University of Wyoming, August 5-8, 1985, and at Seattle University, August 5-8, 1986, and August 4-7, 1987. It was anticipated that the proceedings of these workshops would be combined, so most of the papers were not collected until after the seventh workshop. Because most of the papers in this volume 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 different fields to critically examine maximum-entropy and Bayesian methods in science and engineering as well as 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 Bayesian method. These workshops and their proceedings could not have been brought to their final form without the support or he
出版日期Book 1988
關(guān)鍵詞Estimator; Fitting; Information; Likelihood; Maximum entropy method; Switch; Variance; best fit; entropy; pro
版次1
doihttps://doi.org/10.1007/978-94-010-9054-4
isbn_softcover978-94-010-9056-8
isbn_ebook978-94-010-9054-4Series ISSN 0168-1222 Series E-ISSN 2365-6425
issn_series 0168-1222
copyrightKluwer Academic Publishers 1988
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978-94-010-9056-8Kluwer Academic Publishers 1988
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Super Variational Principles,iples, which may be used when the form of the potential energy operator is partially, or wholly unknown. Details are worked out for a few simple bound-state problems. Possible generalizations are discussed.
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,Einstein’s Reversal of the Boltzmann Principle and Particle Statistics, function should be defined in terms of the entropy. It is shown explicitly for the case of particle statistics that the Boltzmann principle is an approximation to Einstein’s reversal when the entropy is the Shannon-Jaynes entropy, i. e. a Shannon entropy in an appropriate physics context.
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Information and Entropy of Patterns in Genetic Switchs, as one would predict from information theory. During evolution, mutations tend to destroy genetic patterns in the same way that thermal motion tends to destroy patterns in inanimate materials. I am suggesting here that the destructive tendency for entropy to increase in isolated systems may also apply to the genetic material.
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