Studies in Astronomical Time Series Analysis. VI. Bayesian Block Representations¶
Scargle, J. D., Norris, J. P., Jackson, B., & Chiang, J. (2013). Studies in Astronomical Time Series Analysis. VI. Bayesian Block Representations. The Astrophysical Journal, 764(2).
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Adaptive Window Widening
- The canonical algorithm for exactly this, Bayesian Blocks, finds the segmentation that best explains the arrival times, letting the data rather than the clock decide where one estimate ends and the next begins.
This sourceDefines Bayesian Blocks as an optimal segmentation method for event-arrival data whose unequal block boundaries are determined from the data by model fitness with a prior on block count.
- The canonical algorithm for exactly this, Bayesian Blocks, finds the segmentation that best explains the arrival times, letting the data rather than the clock decide where one estimate ends and the next begins.
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
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Registry ID ref:c1b5f4cd8a5e · see in the full table