Wolfgang Nowak at Universität Stuttgart - Research Interests, Publications & Academic Profile

Wolfgang Nowak

Professor

University of Stuttgart

Germany

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Research Interests

Biostatistics

40%

Hydrology

40%

Bayesian Statistics

50%

Pore-scale Modeling

30%

Gaussian Processes

30%

Data Assimilation

20%

Kalman Filtering

20%

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Articles14

Overdispersion in gate tomography: Experiments and continuous, two-scale random walk model on the Bloch sphere

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Year:

2024

Transfer learning achieves high recall for object classification in fluvial environments with limited data

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Year:

2024

Optimized Predictive Coverage by Averaging Time‐Windowed Bayesian Distributions

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Year:

2024

Bayesian Calibration Points to Misconceptions in Three‐Dimensional Hydrodynamic Reservoir Modeling

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Year:

2023

Information‐Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem

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Year:

2023

Comprehensive uncertainty analysis for surface water and groundwater projections under climate change based on a lumped geo-hydrological model

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Year:

2023

Learning Groundwater Contaminant Diffusion‐Sorption Processes With a Finite Volume Neural Network

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Year:

2022

Optimal Exposure Time in Gamma-Ray Attenuation Experiments for Monitoring Time-Dependent Densities

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Year:

2022

Combining Crop Modeling with Remote Sensing Data Using a Particle Filtering Technique to Produce Real-Time Forecasts of Winter Wheat Yields under Uncertain Boundary Conditions

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Year:

2022

Diagnosis of Model Errors With a Sliding Time‐Window Bayesian Analysis

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Year:

2022

Bayesian Inversion of Multi-Gaussian Log-Conductivity Fields With Uncertain Hyperparameters: An Extension of Preconditioned Crank-Nicolson Markov Chain Monte Carlo With Parallel Tempering

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2021

Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation

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Year:

2021

The Four Ways to Consider Measurement Noise in Bayesian Model Selection—And Which One to Choose

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Year:

2021

Efficient Discretization‐Independent Bayesian Inversion of High‐Dimensional Multi‐Gaussian Priors Using a Hybrid MCMC

Article Link

Year:

2021

Collaborators12

Tobias Karl David Weber

Professor

University of Kassel

GERMANY

Ana Gonzalez-Nicolas Alvarez

Jülich Supercomputing Centre, Forschungszentrum Jülich

GERMANY

Sebastian Otte

Professor

University of Lübeck

GERMANY

Kilian Mouris

University of Stuttgart

GERMANY

Thomas Wöhling

Technische Universität Dresden

GERMANY

S. Haun

GERMANY

Anneli Guthke

University of Stuttgart

GERMANY

Ilja Kröker

University of Stuttgart

GERMANY

Sergey Oladyshkin

GERMANY

Silke Wieprecht

Professor

University of Stuttgart

GERMANY

Bernd Flemisch

Postdoctoral researcher (until 2016), Professor for Simulation Technology (since 2017)

University of Stuttgart

GERMANY

Harrie-Jan Hendricks-Franssen

Professor Scientific Computing in Terrestrial Systems

Forschungszentrum Jülich

GERMANY

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