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Optimal Detection of Changepoints With a Linear Computational Cost

Killick, Fearnhead and Eckley · 2012 · Journal of the American Statistical Association

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Methods survey: bioinformatics and signal processing	SRC0D8NJBW275GE
Methods survey: emerging mathematics and machine learning	SRC0D8NJCBP11SK
Survey: inductive methods from fourteen fields	SRC0D8NJDAY13ME

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Killick, R., Fearnhead, P., Eckley, I. 2012. Optimal Detection of Changepoints With a Linear Computational Cost. Journal of the American Statistical Association.

@article{killick2012optimal,
  author = {Killick, R. and Fearnhead, P. and Eckley, I. A.},
  title = {Optimal Detection of Changepoints With a Linear Computational Cost},
  journal = {Journal of the American Statistical Association},
  year = {2012},
  doi = {10.1080/01621459.2012.737745},
  url = {https://doi.org/10.1080/01621459.2012.737745}
}

DOI: 10.1080/01621459.2012.737745
Web: https://doi.org/10.1080/01621459.2012.737745
Licence: arXiv-nonexclusive
Cite key: killick2012optimal
SHA-256: 07b03d783fa275c7b345679099010d9a5ccd8eca0bae91953cc0399bacc3084e

In the research Session 6: Phase 2: registered tests, brute force, five surveys; book v1.1ConsultedSession 9: The inquiry framework, the inductive battery, generated hypotheses and readingsConsulted

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v1 · 25 Oct 2026 · Voynich Manuscript: sync from the research ledger