Titlebook: Maximum Entropy and Bayesian Methods; Boise, Idaho, USA, 1 Gary J. Erickson,Joshua T. Rychert,C. Ray Smith Conference proceedings 1998 Spri

detumescence

书目名称Maximum Entropy and Bayesian Methods影响因子(影响力)




书目名称Maximum Entropy and Bayesian Methods影响因子(影响力)学科排名




书目名称Maximum Entropy and Bayesian Methods网络公开度




书目名称Maximum Entropy and Bayesian Methods网络公开度学科排名




书目名称Maximum Entropy and Bayesian Methods被引频次




书目名称Maximum Entropy and Bayesian Methods被引频次学科排名




书目名称Maximum Entropy and Bayesian Methods年度引用




书目名称Maximum Entropy and Bayesian Methods年度引用学科排名




书目名称Maximum Entropy and Bayesian Methods读者反馈




书目名称Maximum Entropy and Bayesian Methods读者反馈学科排名

先兆

An Empirical Model of Brain Shape,rence configuration. The resultant representation ensures parsimony, yet captures information about the variation across the entire volumetric extent of the brain samples, and facilitates analyses that are governed by the measured statistics of anatomic variability rather than by the physics of some assumed model.

Abnormal

Massive Inference and Maximum Entropy,ignment. We call this technique “Massive Inference” (MassInf). Although the entropy formula no longer appears in the prior, MassInf results show improved quality. MassInf is also capable of assigning a simple prior for polarized images.

conscience

Whence the Laws of Probability?,nctional equation is then set up for the relation between the probabilities and is solved. By synthesising the non-primitive operations NOT and AND from NAND the sum and product rules are derived from this one formula, the fundamental ‘law of probability’.

ARC

Bayesian Group Analysis,lest group configuration that still fits the data has the highest probability. In addition the Bayesian approach allows to eliminate outliers, which otherwise could lead to erroneous conclusions. Simple textbook and mock data sets are analyzed in order to assess the Bayesian approach.

Nonflammable

enlist

Model Comparison with Energy Confinement Data from Large Fusion Experiments,o the scaling law. Using a recently assembled database of the W7-AS stellar ator magnetic confinement device a dimensionally constrained analysis is performed. Probabilities for all models and the associated exponents of a power law scaling function are presented.

GEON

Deconvolution Based on Experimentally Determined Apparatus Functions,nal. This assumption is not valid in general. In fact many situations are conceivable where measurement of the apparatus function requires the same effort as measurement of the signal. We have performed a rigorous Bayesian analysis for this general case and present applications to Rutherford backscattering from thin films.

enmesh

A Bayesian Approach for the Determination of the Charge Density from Elastic Electron Scattering Dal show that many classical methods can be considered as special cases of the proposed approach. We address also the problem of the basis function choice for the discretization and the uncertainty of the solution. Some numerical results for an analytical model are presented to show the performance of the proposed method.

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