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De Nicola, Giacomo 
ORCID: https://orcid.org/0000-0003-0558-6912; Schneble, Marc; Kauermann, Göran und Berger, Ursula
(2022):
Regional now- and forecasting for data reported with delay: toward surveillance of COVID-19 infections.
In: AStA Advances in Statistical Analysis, Bd. 106: S. 407-426
[PDF, 3MB]
ORCID: https://orcid.org/0000-0003-0558-6912; Schneble, Marc; Kauermann, Göran und Berger, Ursula
(2022):
Regional now- and forecasting for data reported with delay: toward surveillance of COVID-19 infections.
In: AStA Advances in Statistical Analysis, Bd. 106: S. 407-426
[PDF, 3MB]
Schneble, Marc und Kauermann, Goeran
(2022):
Intensity Estimation on Geometric Networks with Penalized Splines.
In: Annals of Applied Statistics, Bd. 16, Nr. 2: S. 843-865
Schneble, Marc; Nicola, Giacomo de; Kauermann, Göran und Berger, Ursula
(2021):
A statistical model for the dynamics of COVID-19 infections and their case detection ratio in 2020.
In: Biometrical Journal, Bd. 63, Nr. 8: S. 1623-1632
[PDF, 453kB]
Schneble, Marc; Berger, Ursula; Nicola, Giacomo de und Kauermann, Göran
(20. November 2020):
Nowcasting fatal COVID-19 infections on a regional level in Germany.
In: Biometrical Journal: S. 1-19
[PDF, 3MB]
Schneble, Marc und Kauermann, Göran
(2020):
Estimation of latent network flows in bike-sharing systems.
In: Statistical Modelling, Bd. 22, Nr. 4: S. 349-378