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1 Ergebnisse
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Non-stationary spatio-temporal point process modeling for h..:
Dong, Zheng
;
Zhu, Shixiang
;
Xie, Yao
..
Journal of the Royal Statistical Society Series C: Applied Statistics. 72 (2023) 2 - p. 368-386 , 2023
Link:
https://doi.org/10.1093/jrsssc/qlad013
RT Journal T1
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_jrsssc_qlad013&Exemplar=1&LAN=DE A1 Dong, Zheng A1 Zhu, Shixiang A1 Xie, Yao A1 Mateu, Jorge A1 Rodríguez-Cortés, Francisco J PB Oxford University Press (OUP) YR 2023 SN 0035-9254 SN 1467-9876 JF Journal of the Royal Statistical Society Series C: Applied Statistics VO 72 IS 2 SP 368 OP 386 LK http://dx.doi.org/https://doi.org/10.1093/jrsssc/qlad013 DO https://doi.org/10.1093/jrsssc/qlad013 SF ELIB - SuUB Bremen
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