Maximum Entropy and Bayesian Methods Boise, Idaho, USA, 1997 Proceedings of the 17th International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis

Maximum Entropy and Bayesian Methods Boise, Idaho, USA, 1997 Proceedings of the 17th International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis / by G. Erickson, Joshua T. Rychert, C.R. Smith.

This volume has its origin in the Seventeenth International Workshop on Maximum Entropy and Bayesian Methods, MAXENT 97. The workshop was held at Boise State University in Boise, Idaho, on August 4 -8, 1997. As in the past, the purpose of the workshop was to bring together researchers in different f...

Full description

Saved in:
Bibliographic Details
Main Authors: Erickson, G. (Author), Rychert, Joshua T. (Author), Smith, C.R (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 1998.
Edition:1st ed. 1998.
Series:Fundamental Theories of Physics, 98
Springer eBook Collection.
Subjects:
Probabilities.
Statistics .
Computer science—Mathematics.
Coding theory.
Information theory.
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Massive Inference and Maximum Entropy
  • CV-NP Bayesianism by MCMC
  • Which Algorithms are Feasible? A Maxent Approach
  • Maximum Entropy, Likelihood and Uncertainty: A Comparison
  • Probabilistic Methods for Data Fusion
  • Whence the Laws of Probability?
  • Bayesian Group Analysis
  • Symmetry-Group Justification of Maximum Entropy Method and Generalized Maximum Entropy Methods in Image Processing
  • Probability Synthesis, How to Express Probabilities in Terms of Each Other
  • Inversion Based on Computational Simulations
  • Model Comparison with Energy Confinement Data from Large Fusion Experiments
  • Deconvolution Based on Experimentally Determined Apparatus Functions
  • A Bayesian Approach for the Determination of the Charge Density from Elastic Electron Scattering Data
  • Integrated Deformable Boundary Finding Using Bayesian Strategies
  • Shape Reconstruction in X-Ray Tomography from a Small Number of Projections Using Deformable Models
  • An Empirical Model of Brain Shape
  • Difficulties Applying Blind Source Separation Techniques to EEG and MEG
  • The History of Probability Theory
  • We Must Choose the Simplest Physical Theory: Levin-Li-Vitányi Theorem and Its Potential Physical Applications
  • Maximum Entropy and Acausal Processes: Astrophysical Applications and Challenges
  • Computational Exploration of the Entropic Prior Over Spaces of Low Dimensionality
  • Environmentally-Oriented Processing of Multi-Spectral Satellite Images: New Challenges for Bayesian Methods
  • Maximum Entropy Approach to Optimal Sensor Placement for Aerospace Non-Destructive Testing
  • Maximum Entropy Under Uncertainty.

Similar Items