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Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00

Dienstag 9. Dezember 2025: Die Lesesäle der Deutschen Nationalbibliothek in Leipzig öffnen wegen einer Personalversammlung erst ab 13 Uhr. // Tuesday 9 December 2025: The reading rooms of the German National Library in Leipzig will open at 13:00 due to a staff assembly.

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1 - 10 von 37

	1	Statistical, machine learning, and deep learning models for COVID-19 forecasting in Kenya Enthalten in Computational and mathematical biophysics Bd. 13, 2025, Nr. 1. 23 S.
	2	Exploratory data analysis, time series analysis, crime type prediction, and trend forecasting in crime data using machine learning, deep learning, and statistical methods Enthalten in Neural computing & applications 20.3.2025: 1-26
	3	A Statistical Model for Large and Very Large Hail: Development, Global Climate Applications and Use in Forecasting Battaglioli, Francesco. - Berlin : Freie Universität Berlin, 2024
	4	Statistical forecasting of synoptic-scale rainfall in tropical Africa Rasheeda Satheesh, Athul. - Karlsruhe : KIT-Bibliothek, 2024
	5	Statistical Methods for Large Financial Data Sets: Essays on Monitoring Cointegration and Distributional Reference Class Forecasting Theising, Etienne. - Köln : Universitäts- und Stadtbibliothek Köln, 2024
	6	Statistical modeling for long-term meteorological forecasting: a case study in Van Lake Basin Enthalten in Natural hazards 13.7.2024: 1-16
	7	Advancing Energy Transition: Statistical Approaches to Pan-European Feed-in Data Sets, Enhanced Data Quality and Improved Forecasting Watermeyer, Mira. - Karlsruhe : KIT-Bibliothek, 2023
	8	Connecting reservoir computing with statistical forecasting and deep neural networks Jaurigue, Lina. - Ilmenau : TU Ilmenau, 2022
	9	Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study Schilling, Maximilian. - Aachen : Universitätsbibliothek der RWTH Aachen, 2022
	10	Demand forecasting intermittent and lumpy time series: comparing statistical, machine learning and deep learning methods Kiefer, Daniel. - Reutlingen : Hochschule Reutlingen, 2021