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Changepoint detection in daily precipitation data

Author

Listed:
  • Peter Guttorp
  • Stephan R. Sain
  • Christopher K. Wikle
  • Colin Gallagher
  • Robert Lund
  • Michael Robbins

Abstract

No abstract is available for this item.

Suggested Citation

  • Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & Colin Gallagher & Robert Lund & Michael Robbins, 2012. "Changepoint detection in daily precipitation data," Environmetrics, John Wiley & Sons, Ltd., vol. 23(5), pages 407-419, August.
    • Handle: RePEc:wly:envmet:v:23:y:2012:i:5:p:407-419
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    Citations

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    Cited by:

    1. Eric Ruggieri, 2018. "A pruned recursive solution to the multiple change point problem," Computational Statistics, Springer, vol. 33(2), pages 1017-1045, June.
    2. Nicholas P. McKay & Darrell S. Kaufman & Stéphanie H. Arcusa & Hannah R. Kolus & David C. Edge & Michael P. Erb & Chris L. Hancock & Cody C. Routson & Maurycy Żarczyński & Leah P. Marshall & Georgia K, 2024. "The 4.2 ka event is not remarkable in the context of Holocene climate variability," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    3. Michael W. Robbins & Colin M. Gallagher & Robert B. Lund, 2016. "A General Regression Changepoint Test for Time Series Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 670-683, April.
    4. Fremdt, Stefan & Horváth, Lajos & Kokoszka, Piotr & Steinebach, Josef G., 2014. "Functional data analysis with increasing number of projections," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 313-332.
    5. Rui Qiang & Eric Ruggieri, 2023. "Autocorrelation and Parameter Estimation in a Bayesian Change Point Model," Mathematics, MDPI, vol. 11(5), pages 1-22, February.
    6. Oleksandr Gromenko & Piotr Kokoszka & Matthew Reimherr, 2017. "Detection of change in the spatiotemporal mean function," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(1), pages 29-50, January.
    7. Mo Li & QiQi Lu, 2022. "Changepoint detection in autocorrelated ordinal categorical time series," Environmetrics, John Wiley & Sons, Ltd., vol. 33(7), November.
    8. Ruggieri, Eric & Antonellis, Marcus, 2016. "An exact approach to Bayesian sequential change point detection," Computational Statistics & Data Analysis, Elsevier, vol. 97(C), pages 71-86.
    9. Fuqi Chen & Rogemar Mamon & Sévérien Nkurunziza, 2018. "Inference for a change-point problem under a generalised Ornstein–Uhlenbeck setting," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 70(4), pages 807-853, August.
    10. Shi, Xuesheng & Gallagher, Colin & Lund, Robert & Killick, Rebecca, 2022. "A comparison of single and multiple changepoint techniques for time series data," Computational Statistics & Data Analysis, Elsevier, vol. 170(C).

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