Data Analysis-A Bayesian Tutorial: Second Edition
暂无分享,去创建一个
[1] C. Brooks. Computer simulation of liquids , 1989 .
[2] S. Brodetsky. Essai philosophique sur les probabilités , 1922, Nature.
[3] J. Skilling. The Axioms of Maximum Entropy , 1988 .
[4] Stephen F. Gull,et al. Developments in Maximum Entropy Data Analysis , 1989 .
[5] T. Bayes. An essay towards solving a problem in the doctrine of chances , 2003 .
[6] Kevin H. Knuth,et al. Informed source separation: A Bayesian tutorial , 2013, 2005 13th European Signal Processing Conference.
[7] Charles P. Sonett,et al. Atmospheric 14C Variations: A Bayesian Prospect , 1990 .
[8] S. Stokes,et al. Luminescence dating applications in geomorphological research , 1999 .
[9] S. Gull. Bayesian Inductive Inference and Maximum Entropy , 1988 .
[10] Xinhua Zhuang,et al. Maximum entropy image reconstruction , 1991, IEEE Trans. Signal Process..
[11] T. Loredo. From Laplace to Supernova SN 1987A: Bayesian Inference in Astrophysics , 1990 .
[12] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[13] D. Sivia,et al. Molecular spectroscopy and Bayesian spectral analysis—how many lines are there? , 1992 .
[14] C. Ray Smith,et al. Maximum-entropy and Bayesian methods in science and engineering , 1988 .
[15] Kevin H. Knuth. A Bayesian approach to source separation , 1999 .
[16] B. Frieden. Restoring with maximum likelihood and maximum entropy. , 1972, Journal of the Optical Society of America.
[17] John A. Nelder,et al. A Simplex Method for Function Minimization , 1965, Comput. J..
[18] R. Bryan,et al. Maximum entropy analysis of oversampled data problems , 1990, European Biophysics Journal.
[19] C. Fuchs,et al. Quantum probabilities as Bayesian probabilities , 2001, quant-ph/0106133.
[20] Keith Refson,et al. Moldy: a portable molecular dynamics simulation program for serial and parallel computers , 2000 .
[21] J. Skilling. Classic Maximum Entropy , 1989 .
[22] J. Cadzow. Maximum Entropy Spectral Analysis , 2006 .
[23] M. Tribus,et al. Probability theory: the logic of science , 2003 .
[24] William S. Rayens,et al. Independent Component Analysis: Principles and Practice , 2003, Technometrics.
[25] R. T. Cox. Probability, frequency and reasonable expectation , 1990 .
[26] S. Gull,et al. Image reconstruction from incomplete and noisy data , 1978, Nature.
[27] Stephen F. Gull,et al. Bayesian Data Analysis: Straight-line fitting , 1989 .
[28] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[29] J. Skilling,et al. Maximum entropy image reconstruction: general algorithm , 1984 .
[30] E. Jaynes. Foundations of Probability Theory and Statistical Mechanics , 1967 .
[31] Philip E. Gill,et al. Practical optimization , 1981 .
[32] P. Laplace. Théorie analytique des probabilités , 1995 .
[33] A. N. Tikhonov,et al. Solutions of ill-posed problems , 1977 .
[34] J. Skilling. Quantified Maximum Entropy , 1990 .
[35] E. T. Jaynesz,et al. Clearing up Mysteries { the Original Goal , 1989 .
[36] Phil Gregory. Bayesian Logical Data Analysis for the Physical Sciences: Singular value decomposition , 2005 .
[37] Marvin H. J. Guber. Bayesian Spectrum Analysis and Parameter Estimation , 1988 .
[38] John Skilling,et al. Massive Inference and Maximum Entropy , 1998 .
[39] D. S. Sivia,et al. Background estimation using a robust Bayesian analysis , 2001 .
[40] John Skilling,et al. Maximum entropy reconstruction of spectra containing antiphase peaks , 1985 .
[41] J. Feathers,et al. An introduction to optical dating , 2000 .
[42] M. K. Charter. Drug Absorption in Man, and its Measurement by MaxEnt , 1990 .
[43] V. Dose,et al. Background estimation in experimental spectra , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[44] D. S. Sivia,et al. The Bayesian approach to reflectivity data , 1998 .
[45] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[46] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[47] Forman S. Acton,et al. Numerical methods that work , 1970 .
[48] E. T. Jaynes,et al. Where do we Stand on Maximum Entropy , 1979 .
[49] Rodney W. Johnson,et al. Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy , 1980, IEEE Trans. Inf. Theory.
[50] E. Jaynes. Information Theory and Statistical Mechanics , 1957 .
[51] D. S. Sivia,et al. Bayesian analysis of quasielastic neutron scattering data , 1992 .
[52] J. Bernardo. Reference Posterior Distributions for Bayesian Inference , 1979 .
[53] Sibusiso Sibisi,et al. Quantified Maxent: An NMR Application , 1990 .
[54] Lynn,et al. Neutron-scattering study of the magnon energies and intensities in iron. , 1991, Physical review. B, Condensed matter.
[55] G. C. Tiao,et al. A bayesian approach to some outlier problems. , 1968, Biometrika.
[56] D. S. Sivia,et al. A Bayesian approach to extracting structure‐factor amplitudes from powder diffraction data , 1994 .
[57] W. David,et al. Extending the power of powder diffraction for structure determination , 1990, Nature.