Pages that link to "Item:Q3452517"
From MaRDI portal
The following pages link to Polynomial Chaos Expansion of a Multimodal Random Vector (Q3452517):
Displaying 24 items.
- Data-driven probability concentration and sampling on manifold (Q726929) (← links)
- Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints (Q1662096) (← links)
- Polynomial chaos representation of databases on manifolds (Q1685427) (← links)
- Itô-SDE MCMC method for Bayesian characterization of errors associated with data limitations in stochastic expansion methods for uncertainty quantification (Q1695336) (← links)
- Towards blending physics-based numerical simulations and seismic databases using generative adversarial network (Q2021045) (← links)
- Generalized polynomial chaos-informed efficient stochastic kriging (Q2133029) (← links)
- Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints (Q2142219) (← links)
- Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset (Q2209715) (← links)
- Entropy-based closure for probabilistic learning on manifolds (Q2220629) (← links)
- Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets (Q2236928) (← links)
- Stochastic analysis of structures under limited observations using kernel density estimation and arbitrary polynomial chaos expansion (Q2679444) (← links)
- Multi-Element Generalized Polynomial Chaos for Arbitrary Probability Measures (Q3440195) (← links)
- Parametrization of Random Vectors in Polynomial Chaos Expansions via Optimal Transportation (Q3452487) (← links)
- Compressed Principal Component Analysis of Non-Gaussian Vectors (Q5139351) (← links)
- Optimal Partition in Terms of Independent Random Vectors of Any Non-Gaussian Vector Defined by a Set of Realizations (Q5269858) (← links)
- Surrogate Models for Oscillatory Systems Using Sparse Polynomial Chaos Expansions and Stochastic Time Warping (Q5269875) (← links)
- Probabilistic learning and updating of a digital twin for composite material systems (Q6090721) (← links)
- Updating an uncertain and expensive computational model in structural dynamics based on one single target FRF using a probabilistic learning tool (Q6101638) (← links)
- Probabilistic-learning-based stochastic surrogate model from small incomplete datasets for nonlinear dynamical systems (Q6118558) (← links)
- Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures (Q6148395) (← links)
- An interval framework for uncertain frequency response of multi-cracked beams with application to vibration reduction via tuned mass dampers (Q6173234) (← links)
- Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of helium on graphite substrate (Q6198152) (← links)
- Physics-constrained non-Gaussian probabilistic learning on manifolds (Q6495601) (← links)
- Transient anisotropic kernel for probabilistic learning on manifolds (Q6643613) (← links)
