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Marc Schneble
Marc Schneble
LMU Munich - Department of Statistics
Verified email at stat.uni-muenchen.de
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Cited by
Year
Nowcasting fatal COVID-19 infections on a regional level in Germany
U Schneble, M, De Nicola, G, Kauermann, G, Berger
Biometrical Journal, 1– 19, 2020
31*2020
A statistical model for the dynamics of COVID‐19 infections and their case detection ratio in 2020
M Schneble, G De Nicola, G Kauermann, U Berger
Biometrical Journal 63 (8), 1623-1632, 2021
24*2021
Regional now-and forecasting for data reported with delay: A case study in COVID-19 infections
G De Nicola, M Schneble, G Kauermann, U Berger
arXiv preprint arXiv:2007.16058, 2020
14*2020
Intensity estimation on geometric networks with penalized splines
M Schneble, G Kauermann
The Annals of Applied Statistics 16 (2), 843-865, 2022
22022
CODAG Bericht Nr. 18
H Küchenhoff, G Antes, U Berger, A Hoyer, R Brinks, G Kauermann, ...
Informationen zur Pandemiesteuerung: Welche Daten benötigen wir, 2021
22021
Statistical modeling of on-street parking lot occupancy in smart cities
M Schneble, G Kauermann
arXiv preprint arXiv:2106.06197, 2021
22021
Spotlight on the dark figure: Exhibiting dynamics in the case detection ratio of COVID-19 infections in Germany (preprint)
M Schneble, G De Nicola, G Kauermann, U Berger
22020
Challenges in interpreting epidemiological surveillance data–experiences from Germany
C Fritz, G De Nicola, F Günther, D Rügamer, M Rave, M Schneble, ...
Journal of Computational and Graphical Statistics 32 (3), 765-766, 2023
12023
Estimation of latent network flows in bike-sharing systems
M Schneble, G Kauermann
Statistical Modelling 22 (4), 349-378, 2022
2022
New approaches in statistical modeling
M Schneble
lmu, 2021
2021
Nowcasting fatal COVID-19 infections on a regional level in Germany (preprint)
M Schneble, G De Nicola, G Kauermann, U Berger
2020
Prediction and Its Error Estimation of the United States Monthly Precipitation by Super-ensemble Canonical Correlation Analysis
M Schneble
San Diego State University, 2018
2018
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Articles 1–12