Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993: Fundamental Theories of Physics, cartea 62
Editat de Glenn R. Heidbrederen Limba Engleză Hardback – 31 mai 1996
Audience: Researchers and other professionals whose work requires the application of practical statistical inference.
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Specificații
ISBN-13: 9780792328513
ISBN-10: 0792328515
Pagini: 414
Ilustrații: X, 414 p.
Dimensiuni: 210 x 297 x 24 mm
Greutate: 0.77 kg
Ediția:1996
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Fundamental Theories of Physics
Locul publicării:Dordrecht, Netherlands
ISBN-10: 0792328515
Pagini: 414
Ilustrații: X, 414 p.
Dimensiuni: 210 x 297 x 24 mm
Greutate: 0.77 kg
Ediția:1996
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Fundamental Theories of Physics
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
Tutorial.- An Introduction to Model Selection Using Probability Theory as Logic.- Bayesian Hyperparameters.- Hyperparameters: Optimize, or Integrate Out?.- What Bayes has to Say about the Evidence Procedure.- Reconciling Bayesian and Non-Bayesian Analysis.- Bayesian Robustness.- Bayesian Robustness: A New Look from Geometry.- Local Posterior Robustness with Parametric Priors: Maximum and Average Sensitivity.- Clustering.- Tree-Structured Clustering via the Minimum Cross Entropy Principle.- Inverse Problems.- A Scale-Invariant Bayesian Method to Solve Linear Inverse Problems.- Maximum Entropy Signal Transmission.- Quantum Probability Theory.- Maximum Quantum Entropy for Classical Density Functions.- Smoothing in Maximum Quantum Entropy.- Density Estimation by Maximum Quantum Entropy.- Philosophy.- Belief and Desire.- Computational Issues.- A Bayesian Genetic Algorithm for Calculating Maximum Entropy Distributions.- A Mathematica™ Package for Symbolic Bayesian Calculations.- A Multicriterion Evaluation of the Memsys5 Program for PET.- Parallel Maximum Entropy Reconstruction of PET Images.- Applications.- Bayesian Non-Linear Modeling for the Prediction Competition.- Bayesian Modeling and Classification of Neural Signals.- Estimators for the Cauchy Distribution.- Probability Theory and Multiexponential Signals: How Accurately Can the Parameters be Determined?.- Pixon-Based Image Reconstruction.- Super-Resolved Surface Reconstruction from Multiple Images.- Bayesian Analysis of Linear Phased-Array Radar.- Neural Network Image Deconvolution.- Bayesian Resolution of Closely Spaced Objects.- Ultrasonic Image Improvement through the Use of Bayesian Priors Which are Based on Adjacent Scanned Traces.- Application of Maxent to Inverse Photoemission Spectroscopy.- An EntropyEstimator Algorithm and Telecommunications Applications.- A Common Bayesian Approach to Multiuser Detection and Channel Equalization.- Thermostatics in Financial Economics.- Lessons from the New Evidence Scholarship.- How Good are a Set of Probability Predictions? The Expected Recommendation Loss (ERL) Scoring Rule.