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Copula-based segmentation of cylindrical time series

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Publication:1726742
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DOI10.1016/j.spl.2018.04.011zbMath1407.62416OpenAlexW2800169454WikidataQ58205204 ScholiaQ58205204MaRDI QIDQ1726742

Francesco Lagona

Publication date: 20 February 2019

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2018.04.011


zbMATH Keywords

copulahidden Markov modelWeibullcylindrical datawrapped Cauchy


Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Markov processes: estimation; hidden Markov models (62M05)


Related Items

Mixtures of peaked power Batschelet distributions for circular data with application to saccade directions ⋮ Regime switching models for circular and linear time series ⋮ Modelling circular time series



Cites Work

  • Unnamed Item
  • A multivariate hidden Markov model for the identification of sea regimes from incomplete skewed and circular time series
  • On a class of circulas: copulas for circular distributions
  • Comparison of semiparametric and parametric methods for estimating copulas
  • Some Angular-Linear Distributions and Related Regression Models


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