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Adaptive circular deconvolution by model selection under unknown error distribution

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  • Johannes, Jan
  • Schwarz, Maik

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Suggested Citation

  • Johannes, Jan & Schwarz, Maik, 2013. "Adaptive circular deconvolution by model selection under unknown error distribution," LIDAM Reprints ISBA 2013048, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvar:2013048
    Note: In : Bernoulli : a journal of mathematical statistics and probability, vol. 19, no.5A, p. 1576-1611 (2013)
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    Cited by:

    1. Gwennaëlle Mabon, 2014. "Adaptive Estimation of Random-Effects Densities In Linear Mixed-Effects Model," Working Papers 2014-41, Center for Research in Economics and Statistics.
    2. Marco Di Marzio & Stefania Fensore & Agnese Panzera & Charles C. Taylor, 2022. "Density estimation for circular data observed with errors," Biometrics, The International Biometric Society, vol. 78(1), pages 248-260, March.
    3. 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.
    4. Jeon, Jeong Min & Van Keilegom, Ingrid, 2023. "Density estimation for mixed Euclidean and non-Euclidean data in the presence of measurement error," Journal of Multivariate Analysis, Elsevier, vol. 193(C).

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