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

Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an increasing number of applications in many disciplines. This volume contains selected papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes an extensive tutorial section, and a variety of contributions detailing application in the physical sciences, engineering, law, and economics.
Audience: Researchers and other professionals whose work requires the application of practical statistical inference.

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Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an increasing number of applications in many disciplines. This volume contains selected papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes an extensive tutorial section, and a variety of contributions detailing application in the physical sciences, engineering, law, and economics.
Audience: Researchers and other professionals whose work requires the application of practical statistical inference.

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Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an increasing number of applications in many disciplines. This volume contains selected papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes an extensive tutorial section, and a variety of contributions detailing application in the physical sciences, engineering, law, and economics.
Audience: Researchers and other professionals whose work requires the application of practical statistical inference.
Content:
Front Matter....Pages i-x
An Introduction to Model Selection Using Probability Theory as Logic....Pages 1-42
Hyperparameters: Optimize, or Integrate Out?....Pages 43-59
What Bayes has to Say about the Evidence Procedure....Pages 61-78
Reconciling Bayesian and Non-Bayesian Analysis....Pages 79-86
Bayesian Robustness: A New Look from Geometry....Pages 87-96
Local Posterior Robustness with Parametric Priors: Maximum and Average Sensitivity....Pages 97-106
Tree-Structured Clustering via the Minimum Cross Entropy Principle....Pages 107-120
A Scale Invariant Bayesian Method to Solve Linear Inverse Problems....Pages 121-134
Maximum Entropy Signal Transmission....Pages 135-147
Maximum Quantum Entropy for Classical Density Functions....Pages 149-155
Smoothing in Maximum Quantum Entropy....Pages 157-159
Density Estimation by Maximum Quantum Entropy....Pages 161-174
Belief and Desire....Pages 175-186
A Bayesian Genetic Algorithm for Calculating Maximum Entropy Distributions....Pages 187-195
A Mathematica™ Package for Symbolic Bayesian Calculations....Pages 197-203
A Multicriterion Evaluation of the MemSys5 Program for PET....Pages 205-211
Parallel Maximum Entropy Reconstruction of PET Images....Pages 213-219
Bayesian Non-Linear Modeling for the Prediction Competition....Pages 221-234
Bayesian Modeling and Classification of Neural Signals....Pages 235-253
Estimators for the Cauchy Distribution....Pages 255-263
Probability Theory and Multiexponential Signals, How Accurately Can the Parameters be Determined?....Pages 265-273
Pixon-Based Image Reconstruction....Pages 275-292
Super-Resolved Surface Reconstruction from Multiple Images....Pages 293-308
Bayesian Analysis of Linear Phased-Array Radar....Pages 309-318
Neural Network Image Deconvolution....Pages 319-325
Bayesian Resolution of Closely Spaced Objects....Pages 327-338
Ultrasonic Image Improvement through the Use of Bayesian Priors Which are Based on Adjacent Scanned Traces....Pages 339-342
Application of Maxent to Inverse Photoemission Spectroscopy....Pages 343-350
An Entropy Estimator Algorithm and Telecommunications Applications....Pages 351-363
A Common Bayesian Approach to Multiuser Detection and Channel Equalization....Pages 365-374
Thermostatics in Financial Economics....Pages 375-390
Lessons from the New Evidence Scholarship....Pages 391-399
How Good were those Probability Predictions? The Expected Recommendation Loss (ERL) Scoring Rule....Pages 401-408
Back Matter....Pages 409-414

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Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an increasing number of applications in many disciplines. This volume contains selected papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes an extensive tutorial section, and a variety of contributions detailing application in the physical sciences, engineering, law, and economics.
Audience: Researchers and other professionals whose work requires the application of practical statistical inference.
Content:
Front Matter....Pages i-x
An Introduction to Model Selection Using Probability Theory as Logic....Pages 1-42
Hyperparameters: Optimize, or Integrate Out?....Pages 43-59
What Bayes has to Say about the Evidence Procedure....Pages 61-78
Reconciling Bayesian and Non-Bayesian Analysis....Pages 79-86
Bayesian Robustness: A New Look from Geometry....Pages 87-96
Local Posterior Robustness with Parametric Priors: Maximum and Average Sensitivity....Pages 97-106
Tree-Structured Clustering via the Minimum Cross Entropy Principle....Pages 107-120
A Scale Invariant Bayesian Method to Solve Linear Inverse Problems....Pages 121-134
Maximum Entropy Signal Transmission....Pages 135-147
Maximum Quantum Entropy for Classical Density Functions....Pages 149-155
Smoothing in Maximum Quantum Entropy....Pages 157-159
Density Estimation by Maximum Quantum Entropy....Pages 161-174
Belief and Desire....Pages 175-186
A Bayesian Genetic Algorithm for Calculating Maximum Entropy Distributions....Pages 187-195
A Mathematica™ Package for Symbolic Bayesian Calculations....Pages 197-203
A Multicriterion Evaluation of the MemSys5 Program for PET....Pages 205-211
Parallel Maximum Entropy Reconstruction of PET Images....Pages 213-219
Bayesian Non-Linear Modeling for the Prediction Competition....Pages 221-234
Bayesian Modeling and Classification of Neural Signals....Pages 235-253
Estimators for the Cauchy Distribution....Pages 255-263
Probability Theory and Multiexponential Signals, How Accurately Can the Parameters be Determined?....Pages 265-273
Pixon-Based Image Reconstruction....Pages 275-292
Super-Resolved Surface Reconstruction from Multiple Images....Pages 293-308
Bayesian Analysis of Linear Phased-Array Radar....Pages 309-318
Neural Network Image Deconvolution....Pages 319-325
Bayesian Resolution of Closely Spaced Objects....Pages 327-338
Ultrasonic Image Improvement through the Use of Bayesian Priors Which are Based on Adjacent Scanned Traces....Pages 339-342
Application of Maxent to Inverse Photoemission Spectroscopy....Pages 343-350
An Entropy Estimator Algorithm and Telecommunications Applications....Pages 351-363
A Common Bayesian Approach to Multiuser Detection and Channel Equalization....Pages 365-374
Thermostatics in Financial Economics....Pages 375-390
Lessons from the New Evidence Scholarship....Pages 391-399
How Good were those Probability Predictions? The Expected Recommendation Loss (ERL) Scoring Rule....Pages 401-408
Back Matter....Pages 409-414
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