Maximum Entropy and Bayesian Methods als eBook von - nieuw boek

EAN (ISBN-13): 9789401154307
Verschijningsjaar: 2012
Uitgever: Springer Netherlands

Boek bevindt zich in het datenbestand sinds 2016-02-09T09:44:02+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2021-12-25T11:47:16+01:00 (Amsterdam)
ISBN/EAN: 9789401154307

ISBN - alternatieve schrijfwijzen:
978-94-011-5430-7
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: kenneth silver
Titel van het boek: new bayesian, santa workshop, maximum entropy and bayesian methods

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Gegevens van de uitgever

Auteur: Kenneth M. Hanson; Richard N. Silver
Titel: Fundamental Theories of Physics; Maximum Entropy and Bayesian Methods - Santa Fe, New Mexico, U.S.A., 1995 Proceedings of the Fifteenth International Workshop on Maximum Entropy and Bayesian Methods
Uitgeverij: Springer; Springer Netherland
458 Bladzijden
Verschijningsjaar: 2012-12-06
Dordrecht; NL
Taal: Engels
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XXII, 458 p.

EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Fitting; Maximum entropy method; Measure; Probability theory; Statistical Physics; Time series; best fit; data analysis; discrete Fourier transform; image processing; information; information theory; simulation; C; Probability Theory; Physics and Astronomy; Statistics; Complex Systems; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Electrical and Electronic Engineering; Physics and Astronomy; Stochastik; Mathematik und Naturwissenschaften; Kybernetik und Systemtheorie; Elektrotechnik; BC

Reconstruction of the Probability Density Function Implicit in Option Prices from Incomplete and Noisy Data.- Model Selection and Parameter Estimation for Exponential Signals.- Hierarchical Bayesian Time-Series Models.- Bayesian time Series: Models and Computations for the Analysis of time Series in the Physical Sciences.- Maxent, Mathematics, and Information Theory.- Bayesian Estimation of the von Mises Concentration Parameter.- A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks.- The Bootstrap is Inconsistent with Probability Theory.- Data-Driven Priors for Hyperparameters in Regularization.- Mixture Modeling to Incorporate Meaningful Constraints Into Learning.- Maximum Entropy (Maxent) Method in Expert Systems and Intelligent Control: new Possibilities and Limitations.- The De Finetti Transform.- Continuum Models for Bayesian Image Matching.- Mechanical Models as Priors in Bayesian Tomographic Recontruction.- The Bayes Inference Engine.- A Full Bayesian Approach for Inverse Problem.- Pixon-Based Multiresolution Image Reconstruction and Quantification of Image Information Content.- Bayesian Multimodal Evidence Computation by Adaptive Tempering Mcmc.- Bayesian Inference and the Analytic Continuation of Imaginary-Time Quantum Monte Carlo Data.- Spectral Properties from Quantum Monte Carlo Data: a Consistent Approach.- An Application of Maximum Entropy Method to Dynamical Correlation Functions at Zero Temperature.- Chebyshev Moment Problems: Maximum Entropy and Kernel Polynomial Methods.- Cluster Expansions and Iterative Scaling for Maximum- Entropy Language Models.- A Maxent Tomography Method for Estimating fish Densities in a Commercial Fishery.- Toward Optimal Observer Performance of Detection and Discrimination Tasks on Reconstructions from Sparse Data.- Entropies for Dissipative Fluids and Magnetofluids Without Discretization.- On the Importance of a Marginalization in Maximum Entropy.- Quantum Mechanics as an Exotic Probability Theory.- Bayesian Parameter Estimation of Nuclear-Fusion Confinement time Scaling Laws.- Hierarchical Segmentation of Range and Color Images Based on Bayesian Decision Theory.- Priors on Measures.- Determining Whether two Data Sets are from the Same Distribution.- Occam’s Razor for Parametric Families and Priors on the Space of Distributions.- Skin and Maximum Entropy: a Hidden Complicity?.- Predicting the Accuracy of Bayes Classifiers.- Maximum Entropy Analysis of Genetic Algorithms.- Data Fusion in the field of non Destructive Testing.- Dual Statistical Mechanical Theory for Unsupervised and Supervised Learning.- Complex Sinusoid Analysis by Bayesian Deconvolution of the Discrete Fourier Transform.- Statistical Mechanics of Choice.- Rational Neural Models Based on Information Theory.- A new Entropy Measure with the Explicit Notion of Complexity.- Maximum Entropy States and Coherent Structures in Magnetohydrodynamics.- A Lognormal State of Knowledge.- Pixon-Based Multiresolution Image Reconstruction for Yohkoh’S Hard X-Ray Telescope.- Bayesian Methods for Interpreting Plutonium Urinalysis Data.- The Information Content of Sonar Echoes.- Objective Prior for Cosmological Parameters.- Meal Estimation: Acceptable-Likelihood Extensions of Maxent.- On Curve Fitting with Two-Dimensional Uncertainties.- Bayesian Inference in Search for the in Vivo T2 Decay-Rate Distribution in Human Brain.- Bayesian Comparison of fit Parameters: Application to Time-Resolved X-Ray Spectroscopy.- Edge Entropy and Visual Complexity.- Maximum Entropy Tomography.- BayesianRegularization of Some Seismic Operators.- Multimodality Bayesian Algorithm for Image Reconstruction in Positron Emission Tomography.- Evidence Integrals.