Pages that link to "Item:Q2184398"
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The following pages link to Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework (Q2184398):
Displaying 11 items.
- A computational inverse method for identification of non-Gaussian random fields using the Bayesian approach in very high dimension (Q660306) (← links)
- Multiobjective models in identification of random fields (Q1091933) (← links)
- Identification of elastic properties based on belief function inference (Q1649599) (← links)
- Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints (Q2142219) (← links)
- Bayesian identification and model comparison for random property fields derived from material microstructure (Q2184333) (← links)
- Tensor- and spinor-valued random fields with applications to continuum physics and cosmology (Q2678236) (← 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)
- Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of helium on graphite substrate (Q6198152) (← links)
- Transient anisotropic kernel for probabilistic learning on manifolds (Q6643613) (← links)
