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  • Produktbild: Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993
  • Produktbild: Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993
Band 62

Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993

Aus der Reihe Fundamental Theories of Physics

Fr. 251.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.12.2010

Herausgeber

Glenn R. Heidbreder

Verlag

Springer Netherland

Seitenzahl

414

Maße (L/B/H)

23.5/15.5/2.4 cm

Gewicht

645 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-90-481-4407-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.12.2010

Herausgeber

Glenn R. Heidbreder

Verlag

Springer Netherland

Seitenzahl

414

Maße (L/B/H)

23.5/15.5/2.4 cm

Gewicht

645 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-90-481-4407-5

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993
  • Produktbild: Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993

  • Preface. An Introduction to Model Selection Using Probability Theory as Logic; G.L. Bretthorst. Bayesian Hyperparameters. Hyperparameters: Optimize, or Integrate Out? D.J.C. MacKay. What Bayes has to Say About the Evidence Procedure; D.H. Wolpert, C.E.M. Strauss. Reconciling Bayesian and Non-Bayesian Analysis; D.H. Wolpert. Bayesian Robustness. Bayesian Robustness: A New Look from Geometry; C.C. Rodríguez. Local Posterior Robustness with Parametric Priors: Maximum and Average Sensitivity; S. Basu, et al. Clustering. Tree-Structured Clustering via the Minimum Cross Entropy Principle; D. Miller, K. Rose. Inverse Problems. A Scale-Invariant Bayesian Method to Solve Linear Inverse Problems; A. Mohammad-Djafari, J. Idier. Maximum Entropy Signal Transmission; E.A. Robinson. Quantum Probability Theory. Maximum Quantum Entropy for Classical Density Functions; T.C. Wallstrom. Smoothing in Maximum Quantum Entropy; T.C. Wallstrom. Density Estimation by Maximum Quantum Entropy; R.N. Silver, et al. Philosophy. Belief and Desire; A.J.M. Garrett. Computational Issues. A Bayesian Genetic Algorithm for Calculating Maximum Entropy Distributions; N. Pendock. A MathematicaTM Package for Symbolic Bayesian Calculations; P. Desmedt, I. Lemahieu. A Multicriterion Evaluation of the MEMSYS5 Program for PET; P. Desmedt, et al. Parallel Maximum Entropy Reconstruction of PET Images; K. Bastiaens, et al. Applications. Bayesian Non- Linear Modeling for the Prediction Competition; D.J.C. MacKay. Bayesian Modeling and Classification of Neural Signals; M.S. Lewicki. Estimators for the Cauchy Distribution; K.M. Hanson,D.R. Wolf. Probability Theory and Multiexponential Signals: How Accurately can the Parameters be Determined; A. Ramaswami, G.L. Bretthorst. Pixon-Based Image Reconstruction; R.C. Puetter, R.K. Piña. Super-Resolved Surface Reconstruction from Multiple Images; P. Cheeseman, et al. Bayesian Analysis of Linear Phased-Array Radar; A.G. Green, D.J.C. MacKay. Neural Network Image Deconvolution; J.E. Tansley, et al. Bayesian Resolution of Closely Spaced Objects; N.W. Schulenburg. Ultrasonic Image Improvement through the Use of Bayesian Priors which are Based on Adjacent Scanned Traces; L. Roemer, J. Zhang. Application of Maxent to Inverse Photoemission Spectroscopy; W. von der Linden, et al. An Entropy Estimator Algorithm and Telecommunications Applications; N.T. Plotkin, A.J. Wyner. A Common Bayesian Approach to Multiuser Detection and Channel Equalization; L. Mailaender, R.A. Iltis. Thermostatics in Financial Economics; M.J. Stutzer. Lessons from the New Evidence Scholarship; G.A. Vignaux, B. Robertson. How Good are a Set of Probability Predictions? The Expected Recommendation Loss (ERL) Scoring Rule; D.B. Rosen. Index.