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Update on Bayesian Blocks: Segmented Models for Sequential DataThe Bayesian Block algorithm, in wide use in astronomy and other areas, has been improved in several ways. The model for block shape has been generalized to include other than constant signal rate - e.g., linear, exponential, or other parametric models. In addition the computational efficiency has been improved, so that instead of O(N**2) the basic algorithm is O(N) in most cases. Other improvements in the theory and application of segmented representations will be described.
Document ID
20170011086
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Scargle, Jeff
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
November 14, 2017
Publication Date
September 5, 2017
Subject Category
Statistics And Probability
Report/Patent Number
ARC-E-DAA-TN46616
Meeting Information
Meeting: Fermi LAT Collaboration Meeting
Location: Menlo Park, CA
Country: United States
Start Date: September 5, 2017
End Date: September 8, 2017
Sponsors: Stanford Linear Accelerator Center
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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