Difference between revisions of "DiV MaxEnt"

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==Bayesian Folder==
 
 
*H. M. Franca,  A. Maia,  Jr.,  and  C. P. Malta '''Maxwell  Electromagnetic  Theory, Planck's  Radiation  Law,  and Bose-Einstein  Statistics''' Foundations...  26, 1996
 
*J. Aitchison '''On Coherence in Parametric Density Estimation'''  Vol. 77, No. 4, Dec., 1990  >  On Coherence in Para...
 
*Anand G. Dabak , Don H. Johnson '''Relations between Kullback-Leibler distance and Fisher information''' (2002)
 
*S. Kullback; R. A. Leibler. '''On Information and Sufficiency'''  The Annals of Mathematical Statistics, Vol. 22, No. 1 (Mar., 1951), 79-86.
 
*J. Tersoff and David Bayer '''Quantum Statistics for Distinguishable Particles''' Phys. Rev. Lett. 50, 2038–2038 (1983)
 
*Shore, J., Johnson, R. '''Properties of cross-entropy minimization''' IEEE  TRANSACTIONS  ON  INFORMATION  THEORY,  VOL.  IT-27,  NO, 4, JULY
 
*Edwin T. Jaynes '''Prior Probabilities''' IEEE Transactions On Systems Science and Cybernetics, vol. sec-4, no. 3, 1968, pp. 227-241
 
*M. Grendar, Jr., M. Grendar '''Maximum Probability and Maximum Entropy methods: Bayesian interpretation''' arXiv:physics/0308005v2  [physics.data-an]  9 Sep 2005
 
*R E Nettleton '''Fisher information as thermodynamic entropy model in a classical fluid''' 2003 J. Phys. A: Math. Gen. 36 2443
 
*Harremoes, P. '''Binomial and Poisson distributions as maximum entropy distributions''' IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 47, NO. 5, JULY 2001
 
*E. T. Jaynes '''Information Theory and Statistical Mechanics''' Phys. Rev. 106, 620–630 (1957)
 
*Robert K. Niven '''Combinatorial Information Theory: I. Philosophical Basis of Cross-Entropy and Entropy''' arXiv:cond-mat/0512017v5  [cond-mat.stat-mech]  20 Apr 2007
 
*Robert L. Wolpert , Katja Ickstadt '''Reflecting Uncertainty in Inverse Problems: A Bayesian Solution using Lévy Processes ''' INVERSE PROBLEMS 2004 1759--1771
 
*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
 
*Ariel Caticha, Roland Preuss '''Maximum entropy and Bayesian data analysis: Entropic prior distributions'''  Physical Review E - PHYS REV E , vol. 70, no. 4, 2004
 
*R. Fischer, M. Mayer, W. von der Linden, and V. Dose '''Enhancement of the energy resolution in ion-beam experimentswith the maximum-entropy method''' Phys. Rev. E 55, 6667–6673 (1997)
 
*Fischer, R.; Mayer, M.; von der Linden, W.; Dose, V. '''Energy resolution enhancement in ion beam experiments with Bayesian probability theory''' Nuclear Instruments and Methods in Physics Research Section B, Volume 136, Issue 1-4, p. 1140-1145.
 
*W. Von der Linden , R. Preuss , V. Dose '''The Prior-Predictive Value: A Paradigm of Nasty Multi-Dimensional Integrals''' (1999)
 
*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
 
 
==Informatics Folder==
 
*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
 
*Robert E. Kass '''The Geometry of Asymptotic Inference'''  Statist. Sci. Volume 4, Number 3 (1989), 188-219.
 
*Harold Jeffreys '''An Invariant Form for the Prior Probability in Estimation Problems'''
 
*Bernardo '''Reference posterior distribution for bayesian inference'''
 
 
==General==
 
*Cox, R. T. '''Probability, Frequency and Reasonable Expectation''' American Journal of Physics, Volume 14, Issue 1, pp. 1-13 (1946)
 
*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.
 
*CLAUDE E. SHANNON, '''Communication in the Presence of Noise''', PROCEEDINGS OF THE IEEE, VOL. 86, NO. 2, FEBRUARY 1998 447
 
 
*Jaynes, E. T., '''The Minimum Entropy Production Principle''', Ann. Rev. Phys. Chem. 31, 579, 1980
 
*Jaynes, E. T., '''Macroscopic Prediction''', in Complex Systems - Operational Approaches, H. Haken (ed.), Springer-Verlag, Berlin, p. 254, 1985
 
*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
 
*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)
 
*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
 
 
*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
 
*Shore, J., Johnson, R. '''Properties of cross-entropy minimization''' IEEE  TRANSACTIONS  ON  INFORMATION  THEORY,  VOL.  IT-27,  NO, 4, JULY
 
*Kevin H. Knuth, John Skilling, '''Foundations of Inference''', Axioms 2012, 1(1):38-73
 
*Kevin H. Knuth, '''The Origin of Probability and Entropy''', Bayesian inference and Maximum Entropy Methods in Science and Engineering, Sao Paulo, Brazil, 2008
 
*Y. 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)
 
*P. Ván '''Unique additive information measures - Boltzmann-Gibbs-Shannon, Fisher and beyond''' Physica A, 2006, V365, p28-33
 
 
*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
 
*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)
 
*A. Plastino, A. R. Plastino, B H Soffer, '''Fisher information and thermodynamics' 1st. law''', arXiv:cond- mat/0509697 v2 28 Sep 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. Hernando, A. Plastino, A. R. Plastino, '''MaxEnt and dynamical information''', arXiv:1201.0889v1 [physics.data-an] 4 Jan 2012
 
 
*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)
 
*Humphrey J. Maris and Leo P. Kadanoff '''Teaching the renormalization group''' American Journal of Physics -- June 1978 -- Volume 46, Issue 6, pp. 652
 
*W. K. Wootters  '''Statistical distance and Hilbert space''' Phys. Rev. D 23, 357–362 (1981)
 
*Kurt Wiesenfeld '''Resource Letter: ScL-1: Scaling laws''' American Journal of Physics -- September 2001 -- Volume 69, Issue 9, pp. 938
 
*V Dose '''Bayesian inference in physics: case studies''' 2003 Rep. Prog. Phys. 66 1421
 
*Anand G. Dabak , Don H. Johnson '''Relations between Kullback-Leibler distance and Fisher information''' (2002)
 
 
==Unfolding==
 
*E.T. jaynes '''Prior information and ambiguity in inverse problem''' SIAM-AMS Proceeding V14 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
 
*S.F. Gull and J. Skilling, '''Maximum entropy method in image processing'''', IEE PROCEEDINGS, Vol. 131, Pt. F, No. 6, OCTOBER 1984
 
*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'''
 
*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 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
 
*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
 
*Yuan Qi, Thomas P. Minka, and Rosalind W. Picard '''Bayesian Spectrum Estimation of Unevenly Sampled Nonstationary Data''' EDICS: 2-TIFR, 2-SPEC
 
*Aristidis C. Likas and Nikolas P. Galatsanos '''A Variational Approach for Bayesian Blind Image Deconvolution''' 2222 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 52, NO. 8, AUGUST 2004
 
*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
 
*Jose M. Bioucas-Dias, Mario A. T. Figueiredo, and Joao P. Oliveira '''ADAPTIVE TOTAL VARIATION IMAGE DECONVOLUTION: A MAJORIZATION-MINIMIZATION APPROACH'''
 
*Satoh, T., Matsui, A.,  Hirohata, T.,  Matsumoto, T. '''A hierarchical Bayesian deconvolution with positivity constraints''' 0-7803-5871-6/99/$10.00 1999 IEEE
 
*Georgios Choudalakis '''Fully Bayesian Unfolding'''
 

Latest revision as of 05:40, 9 January 2013