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	1	Calculating flood probability in Obihiro using a probabilistic method: incorporating the probability of dike failure with uncertainty Enthalten in International Association of Hydrological Sciences: Proceedings of the International Association of Hydrological Sciences Bd. 386, 2024: 69-74. 6 S.
	2	Joint application of the Monte Carlo method and computational probabilistic analysis in problems of numerical modeling with data uncertainties Enthalten in Monte Carlo methods and applications Bd. 30, 2024, Nr. 3: 217-223. 7 S.
	3	Trilateration-based indoor localization utilizing the matrix completion method by probabilistic matrix factorization and stochastic gradient Enthalten in International journal of information technology 27.4.2024: 1-14
	4	A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies Enthalten in Advances in data analysis and classification 8.12.2023: 1-21
	5	The Probabilistic Method in Real Singularity Theory Enthalten in Arnold mathematical journal 28.11.2023: 1-16
	6	Probabilistic Analysis of Slope Using Bishop Method of Slices with the Help of Subset Simulation Subsequently Aided with Hybrid Machine Learning Paradigm Enthalten in Indian geotechnical journal 28.10.2023: 1-21
	7	Probabilistic estimation of hydraulic fracture half-lengths: validating the Gaussian pressure-transient method with the traditional rate transient analysis-method (Wolfcamp case study) Enthalten in Journal of petroleum exploration and production technology 18.8.2023: 1-16
	8	Probabilistic analysis of rainfall-induced shallow landslide susceptibility using a physically based model and the bootstrap method Enthalten in Landslides 5.1.2023: 1-16
	9	Probabilistic Assessment of Existing Masonry Structures – The Influence of Spatially Variable Material Properties and a Bayesian Method for Determining Structure-Specific Partial Factors Müller, Dominik. - Darmstadt : Universitäts- und Landesbibliothek, 2022
	10	Probabilistic assessment of existing masonry structures Müller, Dominik. - Darmstadt : Technische Universität Darmstadt, Institut für Massivbau, 2022, 1. Auflage

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