Difference between revisions of "DiV MaxEnt"

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[https://wiki.iac.isu.edu/index.php/RS go back]
 
  
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==Bayesian Folder==
 
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*Robert L. Wolpert , Katja Ickstadt '''Reflecting Uncertainty in Inverse Problems: A Bayesian Solution using Lévy Processes ''' INVERSE PROBLEMS 2004 1759--1771
 
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*ROBERT L. WOLPERT, KATJA ICKSTADT, MARTIN B. HANSEN '''A Nonparametric Bayesian Approach to Inverse Problems''' BAYESIAN STATISTICS 7, pp. 000–000 Oxford University Press, 2003
 
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*R Fischer, W. Von Der Linden, V. Dose '''Adaptive Kernels And Occam's Razor In Inversion Problems''' Proceeding of the MaxEnt Conference 1996 South Africa
 
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==Informatics Folder==
 
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*Alfredo Luis, Alfonso Rodil '''Alternative measures of metrological resolution: contradictions and possible lack of limits''' PACS numbers: 03.65.Ta, 42.50.St, 42.50.Dv, Dated: January 15, 2012
 
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==General==
 
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*Ariel Caticha, '''Updating Probabilities''', Presented at MaxEnt 2006, the 26th International Workshop on Bayesian Inference and Maximum Entropy Methods (July 8-13, 2006, Paris, France)
 
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*Skilling, John, '''The Canvas of Rationality''', BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 28th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP Conference Proceedings, Volume 1073, pp. 67-79 (2008).
 
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*Shore, J., Johnson, R. '''Axiomatic Derivation of the Principle of Maximum Entropy and the Principle of Minimum Cross-Entropy'''
 
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IEEE TRANSACTlIONS ON lNFORMATION THEORY, VOL. m26, NO. 1, JANUARY 1980
 
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*Shore, J., Johnson, R. '''Properties of cross-entropy minimization''' IEEE  TRANSACTIONS  ON  INFORMATION  THEORY,  VOL.  IT-27,  NO, 4, JULY
 
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*Kevin H. Knuth, John Skilling, '''Foundations of Inference''', Axioms 2012, 1(1):38-73
 
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*Kevin H. Knuth, '''The Origin of Probability and Entropy''', Bayesian inference and Maximum Entropy Methods in Science and Engineering, Sao Paulo, Brazil, 2008
 
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*Jos Uffink, '''The Constraint Rule of the Maximum Entropy Principle''', Studies of the History and Philosophy of Modern Physics, 27, 47-49, 1996
 
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*Jos Uffink, '''Can the Maximum Entropy Principle Be Explained as a Consistency Requirement?''', Stud.Hist.Phil.Mod.Phys. 26, 223-261, 1995
 
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*Tommaso Toffoli, '''How much of physics is just computation?''', Superlattices and Microstructures, 23, 381-406 (1998)
 
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*Tommaso Toffoli, '''Action, Or the Fungibility of Computation''', Feynman and Computation, 349-392 (1999)
 
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*Tommaso Toffoli, '''Occam, Turing, von Neumann, Jaynes: How much can you get for how little?''', proceedings of the conference ACRI '94: Automi Cellulari per la Ricerca e l'Industria, Rende (CS), Italy, September 29--30, 1994
 
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*Plastino, A.; Plastino, A. R., '''On the universality of thermodynamics' Legendre transform structure''', Physics Letters A 226 (1997) 257-263
 
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*A. Plastino, E. M. F. Curado, '''Equivalence between maximum entropy principle and enforcing dU=TdS''', Phys. Rev. E 72, 047103 (2005)
 
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*A. Plastino, A. R. Plastino, B H Soffer, '''Fisher information and thermodynamics' 1st. law''', arXiv:cond- mat/0509697 v2 28 Sep 2005
 
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*F. Pennini, A. Plastino, '''Heisenberg-Fisher thermal uncertainty measure''', Phys. Rev. E 69, 057101 (2004)
 
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*F. Pennini and A. Plastino, '''Reciprocity relations between ordinary temperature and the Frieden-Soffer Fisher temperature''', Phys. Rev. E 71, 047102 (2005)
 
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*A. Hernando, A. Plastino, A. R. Plastino, '''MaxEnt and dynamical information''', arXiv:1201.0889v1 [physics.data-an] 4 Jan 2012
 
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*Michael E. Fisher '''Solution of a Combinatorial Problem—Intermediate Statistics''' American Journal of Physics -- January 1962 -- Volume 30, Issue 1, pp. 49
 
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*Humphrey J. Maris and Leo P. Kadanoff '''Teaching the renormalization group''' American Journal of Physics -- June 1978 -- Volume 46, Issue 6, pp. 652
 
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*Kurt Wiesenfeld '''Resource Letter: ScL-1: Scaling laws''' American Journal of Physics -- September 2001 -- Volume 69, Issue 9, pp. 938
 
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*V Dose '''Bayesian inference in physics: case studies''' 2003 Rep. Prog. Phys. 66 1421
 
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*Anand G. Dabak , Don H. Johnson '''Relations between Kullback-Leibler distance and Fisher information''' (2002)
 
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==Unfolding==
 
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*E.T. jaynes '''Prior information and ambiguity in inverse problem''' SIAM-AMS Proceeding V14 1984
 
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*FRÖHNER F. H. '''Assigning uncertainties to scientific data'''
 
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*K. Zarb Adami '''Variational Methods in Bayesian Deconvolution''' PHYSTAT2003,  SLAC, Stanford, California, September 8-11, 2003
 
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*Marcel Reginattoa, Paul Goldhagena, Sonja Neumannb, '''Spectrum unfolding, sensitivity analysis and propagation of uncertainties with the maximum entropy dec*Shore, J., Johnson, R. '''Properties of cross-entropy minimization''' IEEE  TRANSACTIONS  ON  INFORMATION  THEORY,  VOL.  IT-27,  NO, 4, JULYonvolution code MAXED''' Nuclear Instruments and Methods in Physics Research Section A, Volume 476, Issues 1–2, 1 January 2002, Pages 242–246
 
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*G. D'Agostini '''Improved iterative Bayesian unfolding''' arXiv:1010.0632v1  [physics.data-an]  4 Oct 2010
 
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*A. Mohammad-Djafari, Jérôme Idier '''A scale invariant Bayesian method to solve linear inverse problems''' arXiv:physics/0111125v1  [physics.data-an]  14 Nov 2001
 
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*Shikoh ITOH & Toshiharu TSUNODA '''Neutron Spectra Unfolding with Maximum Entropy and Maximum Likelihood''' Journal of Nuclear Science and Technology Volume 26, Issue 9, 1989
 
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*Yuan Qi, Thomas P. Minka, and Rosalind W. Picard '''Bayesian Spectrum Estimation of Unevenly Sampled Nonstationary Data''' EDICS: 2-TIFR, 2-SPEC
 
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*U. Gerhardt, S. Marquardt, N. Schroeder, S. Weiss '''Bayesian deconvolution and analysis of photoelectron or any other spectra: Fermi-liquid versus marginal Fermi-liquid behavior of the 3d electrons in Ni''' Phys. Rev. B » Volume 58 » Issue 11
 
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*Jose M. Bioucas-Dias, Mario A. T. Figueiredo, and Joao P. Oliveira '''ADAPTIVE TOTAL VARIATION IMAGE DECONVOLUTION: A MAJORIZATION-MINIMIZATION APPROACH'''
 
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*Satoh, T., Matsui, A.,  Hirohata, T.,  Matsumoto, T. '''A hierarchical Bayesian deconvolution with positivity constraints''' 0-7803-5871-6/99/$10.00 1999 IEEE
 
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*Georgios Choudalakis '''Fully Bayesian Unfolding'''
 

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