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Disambiguation of "Reuschen, Sebastian"

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Bayesian inversion and model selection of heterogeneities in geostatistical subsurface modeling

. Universität Stuttgart, Stuttgart, Dissertation, (2021)
DOI: 10.18419/opus-12013

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Sebastian Brandhofer University of Stuttgart

Rigorous compilation for near-term quantum computers. Universität Stuttgart, Stuttgart, Dissertation, (2024)

Sebastian Friedl University of Stuttgart

Communication extension for cloud-based machine control of simulated robot processes, , , and . 2016 IEEE International Conference on Industrial Technology (ICIT), page 54-58. (March 2016)

Sebastian Haunss

Dr. Sebastian Rojek University of Stuttgart

Sebastian Lippold University of Stuttgart

 

Other publications of authors with the same name

Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison, , , , , and . Hydrology and Earth System Sciences, (2024 (submitted))Search Space Representation and Reduction Methods to Enhance Multiobjective Water Supply Monitoring Design, , , and . Water Resources Research, 55 (3): 2257-2278 (2019)Hydraulically induced fracturing in heterogeneous porous media using a TPM-phase-field model and geostatistics, , , , and . Proceedings in Applied Mathematics and Mechanics, (2023)Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC, , and . Dataset, (2020)Related to: Reuschen, S., Xu, T., Nowak, W., 2020. Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC. Advances in Water Resources 141, 103614. doi: 10.1016/j.advwatres.2020.103614.Bayesian Inversion of Multi-Gaussian Log-Conductivity Fields With Uncertain Hyperparameters : An Extension of Preconditioned Crank-Nicolson Markov Chain Monte Carlo With Parallel Tempering, , , , and . Water resources research, 57 (9): e2021WR030313 (2021)Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC, , and . Advances in water resources, 141 (July): 103614 (2020)Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC algorithm, , and . Advances in Water Resources, (2020)Bayesian inversion and model selection of heterogeneities in geostatistical subsurface modeling. Universität Stuttgart, Stuttgart, Dissertation, (2021)Preconditioned Crank-Nicolson Markov Chain Monte Carlo Coupled With Parallel Tempering : An Efficient Method for Bayesian Inversion of Multi-Gaussian Log-Hydraulic Conductivity Fields, , , and . Water resources research, 56 (8): e2020WR027110 (2020)The Four Ways to Consider Measurement Noise in Bayesian Model Selection : And Which One to Choose, , and . Water resources research, 57 (11): e2021WR030391 (2021)