Adaptive LASSO estimation for functional hidden dynamic geostatistical models

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Paolo Maranzano
  • Philipp Otto
  • Alessandro Fassò

External Research Organisations

  • University of Milan - Bicocca (UNIMIB)
  • Fondazione Eni Enrico Mattei (FEEM)
  • Universita di Bergamo (UniBg)
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Details

Original languageEnglish
Pages (from-to)3675
Number of pages1
JournalStochastic Environmental Research and Risk Assessment
Volume37
Issue number9
Early online date17 May 2023
Publication statusPublished - Sept 2023

Abstract

Unfortunately, original online version of this article's, one of the references was wrongly fixed and it has been fixed with this corrections as follows: ‘Fassò, A., Rodeschini, J., Fusta Moro, A., Shaboviq, Q., Maranzano, P., Cameletti, M., Finazzi, F., Golini, N., Otto, P. (2023) Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy. Sci Data 10, 143 (2023). The original article has been corrected.

ASJC Scopus subject areas

Cite this

Adaptive LASSO estimation for functional hidden dynamic geostatistical models. / Maranzano, Paolo; Otto, Philipp; Fassò, Alessandro.
In: Stochastic Environmental Research and Risk Assessment, Vol. 37, No. 9, 09.2023, p. 3675.

Research output: Contribution to journalArticleResearchpeer review

Maranzano P, Otto P, Fassò A. Adaptive LASSO estimation for functional hidden dynamic geostatistical models. Stochastic Environmental Research and Risk Assessment. 2023 Sept;37(9):3675. Epub 2023 May 17. doi: 10.48550/arXiv.2208.05528, 10.15488/14182, 10.1007/s00477-023-02466-5, 10.1007/s00477-023-02494-1
Maranzano, Paolo ; Otto, Philipp ; Fassò, Alessandro. / Adaptive LASSO estimation for functional hidden dynamic geostatistical models. In: Stochastic Environmental Research and Risk Assessment. 2023 ; Vol. 37, No. 9. pp. 3675.
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