Maximum Entropy And Bayesian Methods In Science And Engineering

Author : G. Erickson,C.R. Smith
Publisher : Springer
Page : 314 pages
File Size : 40,8 Mb
Release : 2014-03-14
Category : Mathematics
ISBN : 940093050X

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Maximum-Entropy and Bayesian Methods in Science and Engineering by G. Erickson,C.R. Smith Pdf

This volume has its origin in the Fifth, Sixth and Seventh Workshops on and Bayesian Methods in Applied Statistics", held at "Maximum-Entropy 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 all of the papers in this volume are on foundations, it is believed that the con tents 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. A few papers presented at the workshops are not included in these proceedings, but a number of additional papers not presented at the workshop are included. In particular, we are delighted to make available Professor E. T. Jaynes' unpublished Stanford University Microwave Laboratory Report No. 421 "How Does the Brain Do Plausible Reasoning?" (dated August 1957). This is a beautiful, detailed tutorial on the Cox-Polya-Jaynes approach to Bayesian probability theory and the maximum-entropy principle.

Author : G. Erickson,C.R. Smith
Publisher : Springer
Page : 766 pages
File Size : 50,6 Mb
Release : 1988-09-30
Category : Mathematics
ISBN : 9027727929

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Maximum-Entropy and Bayesian Methods in Science and Engineering by G. Erickson,C.R. Smith Pdf

Author : G. Erickson,C.R. Smith
Publisher : Springer
Page : 440 pages
File Size : 49,6 Mb
Release : 2012-03-15
Category : Mathematics
ISBN : 9401090556

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Maximum-Entropy and Bayesian Methods in Science and Engineering by G. Erickson,C.R. Smith Pdf

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 help of a number of people.

Author : G. Erickson,C.R. Smith
Publisher : Springer Science & Business Media
Page : 321 pages
File Size : 48,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789400930490

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Maximum-Entropy and Bayesian Methods in Science and Engineering by G. Erickson,C.R. Smith Pdf

This volume has its origin in the Fifth, Sixth and Seventh Workshops on and Bayesian Methods in Applied Statistics", held at "Maximum-Entropy 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 all of the papers in this volume are on foundations, it is believed that the con tents 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. A few papers presented at the workshops are not included in these proceedings, but a number of additional papers not presented at the workshop are included. In particular, we are delighted to make available Professor E. T. Jaynes' unpublished Stanford University Microwave Laboratory Report No. 421 "How Does the Brain Do Plausible Reasoning?" (dated August 1957). This is a beautiful, detailed tutorial on the Cox-Polya-Jaynes approach to Bayesian probability theory and the maximum-entropy principle.

Author : Ali Mohammad-Djafari,G. Demoment
Publisher : Springer Science & Business Media
Page : 431 pages
File Size : 47,8 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9789401722179

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Maximum Entropy and Bayesian Methods by Ali Mohammad-Djafari,G. Demoment Pdf

The Twelfth International Workshop on Maximum Entropy and Bayesian Methods in Sciences and Engineering (MaxEnt 92) was held in Paris, France, at the Centre National de la Recherche Scientifique (CNRS), July 19-24, 1992. It is important to note that, since its creation in 1980 by some of the researchers of the physics department at the Wyoming University in Laramie, this was the second time that it took place in Europe, the first time was in 1988 in Cambridge. The two specificities of MaxEnt workshops are their spontaneous and informal charac ters which give the participants the possibility to discuss easily and to make very fruitful scientific and friendship relations among each others. This year's organizers had fixed two main objectives: i) to have more participants from the European countries, and ii) to give special interest to maximum entropy and Bayesian methods in signal and image processing. We are happy to see that we achieved these objectives: i) we had about 100 participants with more than 50 per cent from the European coun tries, ii) we received many papers in the signal and image processing subjects and we could dedicate a full day of the workshop to the image modelling, restoration and recon struction problems.

Author : G. Erickson,C.R. Smith
Publisher : Springer Science & Business Media
Page : 338 pages
File Size : 55,8 Mb
Release : 1988-08-31
Category : Mathematics
ISBN : 9027727937

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Maximum-Entropy and Bayesian Methods in Science and Engineering by G. Erickson,C.R. Smith Pdf

This volume has its origin in the Fifth, Sixth and Seventh Workshops on and Bayesian Methods in Applied Statistics", held at "Maximum-Entropy 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 all of the papers in this volume are on foundations, it is believed that the con tents 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. A few papers presented at the workshops are not included in these proceedings, but a number of additional papers not presented at the workshop are included. In particular, we are delighted to make available Professor E. T. Jaynes' unpublished Stanford University Microwave Laboratory Report No. 421 "How Does the Brain Do Plausible Reasoning?" (dated August 1957). This is a beautiful, detailed tutorial on the Cox-Polya-Jaynes approach to Bayesian probability theory and the maximum-entropy principle.

Author : Adriano Polpo,Julio Stern,Francisco Louzada,Rafael Izbicki,Hellinton Takada
Publisher : Springer
Page : 304 pages
File Size : 51,9 Mb
Release : 2018-07-12
Category : Mathematics
ISBN : 9783319911434

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Bayesian Inference and Maximum Entropy Methods in Science and Engineering by Adriano Polpo,Julio Stern,Francisco Louzada,Rafael Izbicki,Hellinton Takada Pdf

These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in São Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community. They gather research from scholars in many different fields who use inductive statistics methods and focus on the foundations of the Bayesian paradigm, their comparison to objectivistic or frequentist statistics counterparts, and their appropriate applications. Interest in the foundations of inductive statistics has been growing with the increasing availability of Bayesian methodological alternatives, and scientists now face much more difficult choices in finding the optimal methods to apply to their problems. By carefully examining and discussing the relevant foundations, the scientific community can avoid applying Bayesian methods on a merely ad hoc basis. For over 35 years, the MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering application contexts. The workshops welcome contributions on all aspects of probabilistic inference, including novel techniques and applications, and work that sheds new light on the foundations of inference. Areas of application in these workshops include astronomy and astrophysics, chemistry, communications theory, cosmology, climate studies, earth science, fluid mechanics, genetics, geophysics, machine learning, materials science, medical imaging, nanoscience, source separation, thermodynamics (equilibrium and non-equilibrium), particle physics, plasma physics, quantum mechanics, robotics, and the social sciences. Bayesian computational techniques such as Markov chain Monte Carlo sampling are also regular topics, as are approximate inferential methods. Foundational issues involving probability theory and information theory, as well as novel applications of inference to illuminate the foundations of physical theories, are also of keen interest.

Author : Rainer Fischer,Roland Preuss,Udo von Toussaint
Publisher : A I P Press
Page : 632 pages
File Size : 44,8 Mb
Release : 2004-11-19
Category : Mathematics
ISBN : STANFORD:36105114182632

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Bayesian Inference and Maximum Entropy Methods in Science and Engineering by Rainer Fischer,Roland Preuss,Udo von Toussaint Pdf

All papers were peer reviewed. Bayesian Inference and Maximum Entropy Methods in Science and Engineering provide a framework for analyzing ill-conditioned data. Maximum Entropy is a theoretical method to draw conclusions when little information is available. Bayesian probability theory provides a formalism for scientific reasoning by analyzing noisy or imcomplete data using prior knowledge.

Author : Ali Mohammad-Djafari
Publisher : American Inst. of Physics
Page : 616 pages
File Size : 51,9 Mb
Release : 2006-12-13
Category : Science
ISBN : 0735403716

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Bayesian Inference and Maximum Entropy Methods in Science and Engineering by Ali Mohammad-Djafari Pdf

The MaxEnt workshops are devoted to Bayesian inference and maximum entropy methods in science and engineering. In addition, this workshop included all aspects of probabilistic inference, such as foundations, techniques, algorithms, and applications. All papers have been peer-reviewed.

Author : Ali Mohammad-Djafari
Publisher : American Institute of Physics
Page : 616 pages
File Size : 54,9 Mb
Release : 2006-12-13
Category : Mathematics
ISBN : UCSD:31822030113591

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Bayesian Inference and Maximum Entropy Methods in Science and Engineering by Ali Mohammad-Djafari Pdf

The MaxEnt workshops are devoted to Bayesian inference and maximum entropy methods in science and engineering. In addition, this workshop included all aspects of probabilistic inference, such as foundations, techniques, algorithms, and applications. All papers have been peer-reviewed.

Author : International Workshop On Bayesian Inference And Maximum Entropy Methods In Science And Engineering
Publisher : Unknown
Page : 186 pages
File Size : 47,8 Mb
Release : 2014
Category : Bayesian statistical decision theory
ISBN : 0735412758

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Bayesian Inference and Maximum Entropy Methods in Science and Engineering by International Workshop On Bayesian Inference And Maximum Entropy Methods In Science And Engineering Pdf

Author : Ali Mohammad-Djafari,Jean-François Bercher,Pierre Bessière
Publisher : American Institute of Physics
Page : 0 pages
File Size : 48,9 Mb
Release : 2011-03-23
Category : Science
ISBN : 0735408602

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Bayesian Inference and Maximum Entropy Methods in Science and Engineering by Ali Mohammad-Djafari,Jean-François Bercher,Pierre Bessière Pdf

MaxEnt workshops are devoted to Bayesian inference and Maximum Entropy methods in sciences and engineering. This year's meeting was also encompassed all aspects of probabilistic inference such as foundations, techniques, algorithms and applications. As usual, we had tutorials, invited speakers, oral and poster presentations on the following subjects: Information theory, Probability theory, Quantum systems, Source separation, Information geometry, Bayesian networks, Parametric and Nonparametric Bayesian Data and Image processing, Bayesian computation, Entropy computation of Markovian and Semi-markovian process.

Author : Glenn R. Heidbreder
Publisher : Springer Science & Business Media
Page : 411 pages
File Size : 50,5 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9789401587297

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Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 by Glenn R. Heidbreder Pdf

Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an increasing number of applications in many disciplines. This volume contains selected papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes an extensive tutorial section, and a variety of contributions detailing application in the physical sciences, engineering, law, and economics. Audience: Researchers and other professionals whose work requires the application of practical statistical inference.

Author : C.R. Smith,Walter Grandy
Publisher : Springer
Page : 492 pages
File Size : 51,8 Mb
Release : 2014-03-14
Category : Mathematics
ISBN : 9401722226

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Maximum-Entropy and Bayesian Methods in Inverse Problems by C.R. Smith,Walter Grandy Pdf

This volume contains the text of the twenty-five papers presented at two workshops entitled Maximum-Entropy and Bayesian Methods in Applied Statistics, which were held at the University of Wyoming from June 8 to 10, 1981, and from August 9 to 11, 1982. The workshops were organized to bring together researchers from different fields to critically examine maxi mum-entropy and Bayesian methods in science, engineering, medicine, oceanography, economics, and other disciplines. An effort was made to maintain an informal environment where ideas could be easily ~xchanged. That the workshops were at least partially successful is borne out by the fact that there have been two succeeding workshops, and the upcoming Fifth Workshop promises to be the largest of all. These workshops and their proceedings could not have been brought to their final form without the substantial help of a number of people. The support of David Hofmann, the past chairman, and Glen Rebka, Jr. , the present chairman of the Physics Department of the University of Wyoming, has been strong and essential. Glen has taken a special interest in seeing that the proceedings have received the support required for their comple tion. The financial support of the Office of University Research Funds, University of Wyoming, is gratefully acknowledged. The secretarial staff, in particular Evelyn Haskell, Janice Gasaway, and Marce Mitchum, of the University of Wyoming Physics Department has contributed a great number of hours in helping C. Ray Smith organize and direct the workshops.

Author : Marcelo de Souza Lauretto,Carlos A. de Bragança Pereira,Julio Michael Stern
Publisher : American Institute of Physics
Page : 402 pages
File Size : 45,7 Mb
Release : 2008-12-04
Category : Computers
ISBN : UCSD:31822036967933

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Bayesian Inference and Maximum Entropy Methods in Science and Engineering by Marcelo de Souza Lauretto,Carlos A. de Bragança Pereira,Julio Michael Stern Pdf

The MaxEnt2008 - 28th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - encompassed all aspects of information theory, probability, statistical inference and statistical physics, including research on foundations and theoretical developments, as well as modeling techniques for several specific application areas.