On semiparametric inference for periodically modulated density functions

Beran, Jan

On semiparametric inference for periodically modulated density functions

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Datum

2023

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Communications in Statistics: Theory and Methods. Taylor & Francis. 2023, 52(23), pp. 8478-8500. ISSN 0361-0926. eISSN 1532-415X. Available under: doi: 10.1080/03610926.2022.2064501

Zusammenfassung

We consider semiparametric inference for seasonally modulated density functions. Asymptotic results for kernel based estimators and simultaneous confidence bands are derived. The method is illustrated by an analysis of COVID-19 data from six European countries.

Fachgebiet (DDC)

510 Mathematik

Schlagwörter

Statistics and Probability

Zitieren

ISO 690

BERAN, Jan, 2023. On semiparametric inference for periodically modulated density functions. In: Communications in Statistics: Theory and Methods. Taylor & Francis. 2023, 52(23), pp. 8478-8500. ISSN 0361-0926. eISSN 1532-415X. Available under: doi: 10.1080/03610926.2022.2064501

BibTex

@article{Beran2023semip-57415,
  year={2023},
  doi={10.1080/03610926.2022.2064501},
  title={On semiparametric inference for periodically modulated density functions},
  number={23},
  volume={52},
  issn={0361-0926},
  journal={Communications in Statistics: Theory and Methods},
  pages={8478--8500},
  author={Beran, Jan}
}

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