639 citations · 648 across the 2 of their papers we have counts for
3 papers
The Bayesian Block Algorithm
Jeffrey D. Scargle, Jay P. Norris, Brad Jackson +1
This presentation describes the Bayesian Block algorithm in the context of its application to analysis of time series data from the Fermi Gamma Ray Space Telescope. More generally…
Studies in Astronomical Time Series Analysis. VI. Bayesian Block Representations
Jeffrey D. Scargle, Jay P. Norris, Brad Jackson +1
This paper addresses the problem of detecting and characterizing local variability in time series and other forms of sequential data. The goal is to identify and characterize stati…
An Algorithm for Optimal Partitioning of Data on an Interval
Brad Jackson, Jeffrey D. Scargle, David Barnes +7
Many signal processing problems can be solved by maximizing the fitness of a segmented model over all possible partitions of the data interval. This letter describes a simple but p…