Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 22nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Moscow, Idaho, 3-7 August 2002
The papers for these proceedings were peer reviewed. Bayesian inference and maximum entropy methods provide a framework for analyzing very complicated data sets. The papers in this volume provide applications of these methods to problems such as medical imaging, weather prediction, intrusion detection, and modeling planetary nebulae. Other papers address foundational questions that underlie these methods. Topics include: estimation and inference; applications in physics; signal separation and classification; inductive logic theory; prior specification; and tutorials.
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Frequency Estimation Multiple Stationary Nonsinusoidal Resonances
A Bayesian Approach to Estimating Coupling between Neural
Bayesian Estimation of Fish Disease Prevalence from Pooled Samples
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