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Circular conditional autoregressive modeling of vector fields

Author

Listed:
  • Wenceslao González‐Manteiga
  • Rosa M. Crujeiras
  • Danny Modlin
  • Montserrat Fuentes
  • Brian Reich

Abstract

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Suggested Citation

  • Wenceslao González‐Manteiga & Rosa M. Crujeiras & Danny Modlin & Montserrat Fuentes & Brian Reich, 2012. "Circular conditional autoregressive modeling of vector fields," Environmetrics, John Wiley & Sons, Ltd., vol. 23(1), pages 46-53, February.
    • Handle: RePEc:wly:envmet:v:23:y:2012:i:1:p:46-53
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    Citations

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    Cited by:

    1. Jan Beran & Sucharita Ghosh, 2020. "Estimating the Mean Direction of Strongly Dependent Circular Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(2), pages 210-228, March.
    2. William Kleiber & Stephan Sain & Luke Madaus & Patrick Harr, 2023. "Stochastic tropical cyclone precipitation field generation," Environmetrics, John Wiley & Sons, Ltd., vol. 34(1), February.
    3. Indranil Sahoo & Joseph Guinness & Brian J. Reich, 2023. "Estimating atmospheric motion winds from satellite image data using space‐time drift models," Environmetrics, John Wiley & Sons, Ltd., vol. 34(8), December.
    4. Arthur Pewsey & Eduardo García-Portugués, 2021. "Recent advances in directional statistics," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(1), pages 1-58, March.
    5. Jan Beran & Britta Steffens & Sucharita Ghosh, 2022. "On nonparametric regression for bivariate circular long-memory time series," Statistical Papers, Springer, vol. 63(1), pages 29-52, February.

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