Difference between revisions of "DiV MaxEnt"

From New IAC Wiki
Jump to navigation Jump to search
(Blanked the page)
 
(100 intermediate revisions by the same user not shown)
Line 1: Line 1:
−
[https://wiki.iac.isu.edu/index.php/RS go back]
 
  
−
 
−
*Jaynes, E. T., '''Probability in Quantum Theory''', in Complexity, Entropy, and the Physics of Information, W. H. Zurek (ed.), Addison-Wesley, Redwood City, CA, p. 381, 1990
 
−
*Jaynes, E. T., '''Macroscopic Prediction''', in Complex Systems - Operational Approaches, H. Haken (ed.), Springer-Verlag, Berlin, p. 254, 1985
 
−
*Jaynes, E. T., '''The Minimum Entropy Production Principle''', Ann. Rev. Phys. Chem. 31, 579, 1980
 
−
*Ariel Caticha, '''From Inference to Physics''', Presented at MaxEnt 2008, the 28th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (July 8-13, 2008, Boraceia Beach, Sao Paulo, Brazil)
 
−
*Ariel Caticha, '''Entropic Dynamics''', Presented at MaxEnt 2001, the 21th International Workshop on Bayesian Inference and Maximum Entropy Methods (August 4-9, 2001, Baltimore, MD, USA)
 
−
*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)
 
−
*Ariel Caticha, '''Relative Entropy and Inductive Inference''', Presented at MaxEnt23, the 23rd International Workshop on Bayesian Inference and Maximum Entropy Methods (August 3-8, 2003, Jackson Hole, WY, USA)
 
−
*Ariel Caticha, Entropic Dynamics'''', Presented at MaxEnt 2001, the 21th International Workshop on Bayesian Inference and Maximum Entropy Methods (August 4-9, 2001, Baltimore, MD, USA)
 
−
*S.F. Gull and J. Skilling, '''Maximum entropy method in image processing'''', IEE PROCEEDINGS, Vol. 131, Pt. F, No. 6, OCTOBER 1984
 
−
*S.F. Gull and J. Skilling, '''Maximum Entropy Image Reconstruction - General Algorithm''', Monthly Notices of the Royal Astronomical Society, Vol. 211, NO.1, P. 111, 1984
 
−
*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).
 
−
*Sýkora, Stanislav, '''Quantum theory and the bayesian inference problems''', Journal of Statistical Physics, Volume 11, Issue 1, pp.17-27
 
−
*Kevin H. Knuth, John Skilling, '''Foundations of Inference''', Axioms 2012, 1(1):38-73
 
−
*Yoel Tikochinsky, '''Feynman Rules for Probability Amplitudes''', International Journal of Theoretical Physics, Vol. 27, No. 5, 1988
 
−
*Y. Tikochinsky*, N. Z. Tishby*, and R. D. Levine ,'''Consistent Inference of Probabilities for Reproducible Experiments''', Phys. Rev. Lett. 52, 1357–J. M. Borwein, A. S. Lewis and D. Noll1360 (1984)
 
−
*CLAUDE E. SHANNON, '''Communication in the Presence of Noise''', PROCEEDINGS OF THE IEEE, VOL. 86, NO. 2, FEBRUARY 1998 447
 
−
*Tommaso Toffoli, '''How much of physics is just computation?''', Superlattices and Microstructures, 23, 381-406 (1998)
 
−
*Tommaso Toffoli, '''Action, Or the Fungibility of Computation''', Feynman and Computation, 349-392 (1999)
 
−
*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
 
−
*Plastino, A.; Plastino, A. R., '''On the universality of thermodynamics' Legendre transform structure''', Physics Letters A 226 (1997) 257-263
 
−
*A. Plastino, E. M. F. Curado, '''Equivalence between maximum entropy principle and enforcing dU=TdS''', Phys. Rev. E 72, 047103 (2005)
 
−
*F. Pennini, A. Plastino, '''Heisenberg-Fisher thermal uncertainty measure''', Phys. Rev. E 69, 057101 (2004)
 
−
*F. Pennini and A. Plastino, '''Reciprocity relations between ordinary temperature and the Frieden-Soffer Fisher temperature''', Phys. Rev. E 71, 047102 (2005)
 
−
*A. Plastino, A. R. Plastino, B H Soffer, '''Fisher information and thermodynamics' 1st. law''', arXiv:cond- mat/0509697 v2 28 Sep 2005
 
−
*A. Hernando, A. Plastino, A. R. Plastino, '''MaxEnt and dynamical information''', arXiv:1201.0889v1 [physics.data-an] 4 Jan 2012
 
−
*Jos Uffink, '''The Constraint Rule of the Maximum Entropy Principle''', Studies of the History and Philosophy of Modern Physics, 27, 47-49, 1996
 
−
*Jos Uffink, '''Can the Maximum Entropy Principle Be Explained as a Consistency Requirement?''', Stud.Hist.Phil.Mod.Phys. 26, 223-261, 1995
 
−
*Kevin H. Knuth, '''The Origin of Probability and Entropy''', Bayesian inference and Maximum Entropy Methods in Science and Engineering, Sao Paulo, Brazil, 2008
 
−
*Alfréd Rényi, '''On Measures of Entropy and Information''' Proc. Fourth Berkeley Symp. on Math. Statist. and Prob., Vol. 1 (Univ. of Calif. Press, 1961), 547-561.
 
−
*Cox, R. T. '''Probability, Frequency and Reasonable Expectation''' American Journal of Physics, Volume 14, Issue 1, pp. 1-13 (1946)
 
−
*P. Ván '''Unique additive information measures - Boltzmann-Gibbs-Shannon, Fisher and beyond''' Physica A, 2006, V365, p28-33
 
−
*Shore, J., Johnson, R. '''Properties of cross-entropy minimization''' 0018-9448/81/0700-0472$00.75 1981 IEEE
 
−
*Shore, J., Johnson, R. '''Axiomatic Derivation of the Principle of Maximum Entropy and the Principle of Minimum Cross-Entropy''' IEEE TRANSACTlIONS ON lNFORMATION THEORY, VOL. m26, NO. 1, JANUARY 1980
 
−
*Michael E. Fisher '''Solution of a Combinatorial Problem—Intermediate Statistics''' American Journal of Physics -- January 1962 -- Volume 30, Issue 1, pp. 49
 
−
*B. Roy Frieden and Bernard H. Soffer '''Lagrangians of physics and the game of Fisher-information transfer''' Phys. Rev. E 52, 6917–6917 (1995)
 
−
 
−
*J. M. Borwein, A. S. Lewis and D. Noll '''Maximum Entropy Reconstruction Using Derivative Information, Part 1: Fisher Information and Convex Duality'''
 
−
*J. M. Borwein , A. S. Lewis , M. N. Limber , D. Noll '''Maximum Entropy Spectral Analysis Using Derivative Information Part 2: Computational Results'''
 
−
*FRÖHNER F. H. '''Assigning uncertainties to scientific data'''
 
−
*Anand G. Dabak , Don H. Johnson '''Relations between Kullback-Leibler distance and Fisher information''' (2002)
 
−
*K. Zarb Adami '''Variational Methods in Bayesian Deconvolution''' PHYSTAT2003,  SLAC, Stanford, California, September 8-11, 2003
 
−
*Marcel Reginattoa, Paul Goldhagena, Sonja Neumannb, '''Spectrum unfolding, sensitivity analysis and propagation of uncertainties with the maximum entropy deconvolution code MAXED''' Nuclear Instruments and Methods in Physics Research Section A, Volume 476, Issues 1–2, 1 January 2002, Pages 242–246
 
−
*G. D'Agostini '''Improved iterative Bayesian unfolding''' arXiv:1010.0632v1  [physics.data-an]  4 Oct 2010
 
−
*A. Mohammad-Djafari, Jérôme Idier '''A scale invariant Bayesian method to solve linear inverse problems''' arXiv:physics/0111125v1  [physics.data-an]  14 Nov 2001
 
−
*Shikoh ITOH & Toshiharu TSUNODA '''Neutron Spectra Unfolding with Maximum Entropy and Maximum Likelihood''' Journal of Nuclear Science and Technology Volume 26, Issue 9, 1989
 

Latest revision as of 05:40, 9 January 2013

Retrieved from "https://wiki.iac.isu.edu/index.php?title=DiV_MaxEnt&oldid=80039"