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Papers matching “Monte Carlo sampling” 91

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Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks
2020 Statistics and Computing article Biochemistry, Genetics and Molecular Biology Gene Regulatory Network Analysis Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone

1

citations
Multilevel double loop Monte Carlo and stochastic collocation methods with importance sampling for Bayesian optimal experimental design
2020 International Journal for Numerical Methods in Engineering article Decision Sciences Probabilistic and Robust Engineering Design Open access

Joakim Beck, Ben Mansour Dia, Luis Espath, Raul F. Tempone

28

citations
A multi-scale learning approach for remaining useful life prediction of lithium-ion batteries based on variational mode decomposition and Monte Carlo sampling
2023 Energy article Engineering Advanced Battery Technologies Research Open access

Meng Wei, Min Ye, Chuanwei Zhang, Yan Li, Jiale Zhang, Qiao Wang

58

citations
Probabilistic geophysical inversion of complex resistivity measurements using the Hamiltonian Monte Carlo method
2024 Geophysical Journal International article Earth and Planetary Sciences Geophysical and Geoelectrical Methods Open access

Joost Hase, Florian Wagner, Maximilian Weigand, Andreas Kemna

5

citations
Enhanced Hamiltonian Monte Carlo simulations using Hamiltonian neural networks
2023 PAMM article Decision Sciences Probabilistic and Robust Engineering Design Open access

Denny Thaler, Somayajulu L. N. Dhulipala, Franz Bamer, Bernd A. Markert, Michael D. Shields

3

citations
Sensitivity and depth of investigation from Monte Carlo ensemble statistics
2020 Geophysical Prospecting article Earth and Planetary Sciences Geophysical and Geoelectrical Methods Open access

Christin Bobe, Johannes Keller, Ellen Van De Vijver

0

citations
Efficient Subset Simulation using Hamiltonian Neural Network enhanced Markov Chain Monte Carlo Methods
2024 OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) article Computer Science Neural Networks and Applications Open access

Denny Thaler

0

citations
A Monte Carlo Simulation Approach in Non-linear Structural Dynamics Using Convolutional Neural Networks
2021 Frontiers in Built Environment article Engineering Structural Health Monitoring Techniques Open access

Franz Bamer, Denny Thaler, Marcus Stoffel, Bernd A. Markert

15

citations
Training Data Selection for Machine Learning-Enhanced Monte Carlo Simulations in Structural Dynamics
2022 Applied Sciences article Engineering Structural Health Monitoring Techniques Open access

Denny Thaler, Leonard Elezaj, Franz Bamer, Bernd A. Markert

19

citations
Uncertainty quantification in coastal aquifers using the multilevel Monte Carlo method
2023 PAMM article Decision Sciences Probabilistic and Robust Engineering Design Open access

Alexander Litvinenko, Dmitry Logashenko, Raul F. Tempone, Ekaterina Vasilyeva, Gabriel Wittum

4

citations
Uncertainty quantification of geologic model parameters in 3D gravity inversion by Hessian-informed Markov chain Monte Carlo
2022 Geophysics article Earth and Planetary Sciences Seismic Imaging and Inversion Techniques

Zhouji Liang, Florian Wellmann, Omar N. Ghattas

19

citations
Probabilistic Optimal Power Flow Calculation Using Weighted Quasi-Monte Carlo Method Based on Homotopy Algorithm and Correlation Correction
2026 IEEE Transactions on Power Systems article Engineering Power System Optimization and Stability

Junzhou Wang, Xingyu Lin, Sui Peng, Junjie Tang, Ferdinanda Ponci, Antonello Monti

0

citations
ADAPTIVE STRATIFIED SAMPLING FOR NONSMOOTH PROBLEMS
2022 International Journal for Uncertainty Quantification article Decision Sciences Probabilistic and Robust Engineering Design

Per Pettersson, Sebastian Krumscheid

8

citations
Coupled Anharmonic Thermochemistry from Stratified Monte Carlo Integration
2021 Journal of Chemical Information and Modeling article Chemistry Chemical Thermodynamics and Molecular Structure

Gabriel Rath, Wassja A. Kopp, Kai O. Leonhard

2

citations
Structural Analysis of Melt-Spun Polymer-Optical Poly(Methyl Methacrylate) Fibres by Small-Angle X-ray Scattering and Monte-Carlo Simulation
2021 Polymers article Engineering Organic Light-Emitting Diodes Research Open access

Jan P. Kallweit, Thomas Vad, Felix Krooß, Thomas Gries, Mohmmed Al Houri, Christian‐Alexander Bunge

2

citations
Multilevel importance sampling for rare events associated with the McKean–Vlasov equation
2024 Statistics and Computing article Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Shyam Mohan Subbiah Pillai, Raul F. Tempone

1

citations
hopsy — a methods marketplace for convex polytope sampling in Python
2024 Bioinformatics article Mathematics Markov Chains and Monte Carlo Methods Open access

Richard Dominik Paul, Johann F. Jadebeck, Anton Stratmann, Wolfgang Wiechert, Katharina Nöh

8

citations
High-throughput parameter estimation from experimental data using Bayesian Inference with accelerated sampling
2026 npj Computational Materials article Engineering Perovskite Materials and Applications Open access

Basita Das, William Heymann, Yueming Wang, Uwe Rau, Thomas Kirchartz, Tonio Buonassisi

0

citations
Efficient Importance Sampling for the Left Tail of Positive Gaussian Quadratic Forms
2020 IEEE Wireless Communications Letters article Mathematics Mathematical Approximation and Integration Open access

Chaouki Ben Issaid, Mohamed‐Slim Alouini

3

citations
Practical sampling of constraint-based models: Optimized thinning boosts CHRR performance
2023 PLoS Computational Biology article Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access

Johann F. Jadebeck, Wolfgang Wiechert, Katharina Nöh

7

citations
HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
2020 Bioinformatics article Mathematics Markov Chains and Monte Carlo Methods

Johann F. Jadebeck, Axel Theorell, Samuel Leweke, Katharina Nöh

19

citations
Mean-field control variate methods for kinetic equations with uncertainties and applications to socioeconomic sciences
2022 Institutional Research Information System University of Ferrara (University of Ferrara) article Mathematics Numerical methods for differential equations Open access

Lorenzo Pareschi, Torsten Trimborn, Mattia Zanella

8

citations
MEAN-FIELD CONTROL VARIATE METHODS FOR KINETIC EQUATIONS WITH UNCERTAINTIES AND APPLICATIONS TO SOCIOECONOMIC SCIENCES
2021 International Journal for Uncertainty Quantification article Physics and Astronomy Opinion Dynamics and Social Influence Open access

Lorenzo Pareschi, Torsten Trimborn, Mattia Zanella

2

citations
Generalized parallel tempering on Bayesian inverse problems
2021 Statistics and Computing article Mathematics Markov Chains and Monte Carlo Methods Open access

Jonas Latz, Juan P. Madrigal-Cianci, Fabio Nobile, Raul F. Tempone

12

citations
Constraining stochastic 3-D structural geological models with topology information using approximate Bayesian computation in GemPy 2.1
2021 Geoscientific model development article Earth and Planetary Sciences Geological Modeling and Analysis Open access

Alexander Schaaf, Miguel de la Varga, Florian Wellmann, Clare Elizabeth Bond

25

citations