| Estimation of small failure probabilities based on thermodynamic integration and parallel tempering S Xiao, S Reuschen, G Köse, S Oladyshkin, W Nowak Mechanical Systems and Signal Processing 133, 106248, 2019 | 21 | 2019 |
| Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC S Reuschen, T Xu, W Nowak Advances in Water Resources 141, 103614, 2020 | 15 | 2020 |
| Preconditioned Crank‐Nicolson Markov chain Monte Carlo coupled with parallel tempering: An efficient method for Bayesian inversion of multi‐Gaussian log‐hydraulic conductivity … T Xu, S Reuschen, W Nowak, HJ Hendricks Franssen Water resources research 56 (8), e2020WR027110, 2020 | 12 | 2020 |
| Bayesian Inversion of Multi‐Gaussian Log‐Conductivity Fields With Uncertain Hyperparameters: An Extension of Preconditioned Crank‐Nicolson Markov Chain Monte Carlo With … S Xiao, T Xu, S Reuschen, W Nowak, HJ Hendricks Franssen Water resources research 57 (9), e2021WR030313, 2021 | 11 | 2021 |
| Search space representation and reduction methods to enhance multiobjective water supply monitoring design F Bode, P Reed, S Reuschen, W Nowak Water Resources Research 55 (3), 2257-2278, 2019 | 11 | 2019 |
| Efficient discretization‐independent Bayesian inversion of high‐dimensional multi‐Gaussian priors using a hybrid MCMC S Reuschen, F Jobst, W Nowak Water Resources Research 57 (8), e2021WR030051, 2021 | 9 | 2021 |
| Bayesian inversion and model selection of heterogeneities in geostatistical subsurface modeling S Reuschen Stuttgart: Eigenverlag des Instituts für Wasser-und Umweltsystemmodellierung, 2021 | 4 | 2021 |
| The four ways to consider measurement noise in Bayesian model selection—And which one to choose S Reuschen, W Nowak, A Guthke Water Resources Research 57 (11), e2021WR030391, 2021 | 3 | 2021 |
| Hydraulically induced fracturing in heterogeneous porous media using a TPM‐phase‐field model and geostatistics A Wagner, A Sonntag, S Reuschen, W Nowak, W Ehlers PAMM 23 (1), e202200118, 2023 | 1 | 2023 |
| Sequential pCN-MCMC, an efficient MCMC method for Bayesian inversion of high-dimensional multi-Gaussian priors S Reuschen, F Jobst, W Nowak arXiv preprint arXiv:2103.13385, 2021 | 1 | 2021 |
| Never Use the Complete Search Space: a Concept to Enhance the Optimization Procedure for Monitoring Networks F Bode, S Reuschen, W Nowak AGU Fall Meeting Abstracts 2015, IN11B-1774, 2015 | 1 | 2015 |
| Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison T Xu, S Xiao, S Reuschen, N Wildt, HJ Hendricks Franssen, W Nowak Hydrology and Earth System Sciences Discussions 2024, 1-64, 2024 | | 2024 |
| How to Treat Measurement Noise in Bayesian Model Selection And Why It Matters S Reuschen, A Guthke AGU Fall Meeting Abstracts 2021, H52C-07, 2021 | | 2021 |
| Novel MCMC methods for Bayesian inference of spatial parameter fields S Reuschen, T Xu, F Jobst, W Nowak EGU General Assembly Conference Abstracts, EGU21-2560, 2021 | | 2021 |
| Bayesian inversion and visualization of hierarchical geostatistical models S Reuschen, T Xu, W Nowak EGU General Assembly Conference Abstracts, 6551, 2020 | | 2020 |
| High-end solution techniques and accurate reference solutions: towards a community-wide benchmarking effort for stochastic inverse modeling of groundwater flow W Nowak, T Xu, S Reuschen, HJ Hendricks Franssen, A Guadagnini EGU General Assembly Conference Abstracts, 19114, 2020 | | 2020 |
| Bayesian Inversion of Hierarchical Geostatistical Models using a tailored MCMC Algorithm S Reuschen, T Xu, W Nowak AGU Fall Meeting Abstracts 2019, H43F-2046, 2019 | | 2019 |
| High-end solution techniques and accurate reference solutions: towards a community-wide benchmarking effort for stochastic inverse modeling of groundwater flow. T Xu, S Reuschen, W Nowak, HJH Franssen, A Guadagnini Geophysical Research Abstracts 21, 2019 | | 2019 |
| Benchmark scenarios and invitation to participate to a community-wide benchmarking effort for stochastic inverse modeling of groundwater flow. W Nowak, T Xu, S Reuschen, HJH Franssen, A Guadagnini Geophysical Research Abstracts 21, 2019 | | 2019 |
| Putting Man in the Machine: Exploiting Expertise to Enhance Multiobjective Design of Water Supply Monitoring Network F Bode, W Nowak, PM Reed, S Reuschen AGU Fall Meeting Abstracts 2016, H51A-1413, 2016 | | 2016 |
