The following pages link to Bayes-Hermite quadrature (Q1193957):
Displaying 50 items.
- Bayes linear analysis for Bayesian optimal experimental design (Q254214) (← links)
- Hessian matrix distribution for Bayesian policy gradient reinforcement learning (Q545311) (← links)
- Gamblets for opening the complexity-bottleneck of implicit schemes for hyperbolic and parabolic ODEs/PDEs with rough coefficients (Q683388) (← links)
- Gaussian processes with built-in dimensionality reduction: applications to high-dimensional uncertainty propagation (Q726924) (← links)
- Adaptive sampling-based quadrature rules for efficient Bayesian prediction (Q782004) (← links)
- Elicitation of multivariate prior distributions: a nonparametric Bayesian approach (Q963850) (← links)
- A quasirandom approach to integration in Bayesian statistics (Q1103292) (← links)
- Prediction intervals for integrals of Gaussian random fields (Q1623768) (← links)
- Bayes linear analysis of risks in sequential optimal design problems (Q1711561) (← links)
- Simultaneous Kriging-based estimation and optimization of mean response (Q1941025) (← links)
- A Bayesian approach to computing posterior distribution and quantile functions (Q1969148) (← links)
- Why simple quadrature is just as good as Monte Carlo (Q1985370) (← links)
- Worst-case optimal approximation with increasingly flat Gaussian kernels (Q1987757) (← links)
- Gaussian kernel quadrature at scaled Gauss-Hermite nodes (Q2009110) (← links)
- Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations (Q2057377) (← links)
- Sampling based approximation of linear functionals in reproducing kernel Hilbert spaces (Q2114113) (← links)
- Monte Carlo with determinantal point processes (Q2180388) (← links)
- Adaptive experiment design for probabilistic integration (Q2184342) (← links)
- Convergence rates of Gaussian ODE filters (Q2209738) (← links)
- Skew Gaussian processes for classification (Q2217445) (← links)
- Bayes linear analysis for ordinary differential equations (Q2242017) (← links)
- Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian processes (Q2246340) (← links)
- Convergence analysis of deterministic kernel-based quadrature rules in misspecified settings (Q2291733) (← links)
- Fast automatic Bayesian cubature using lattice sampling (Q2302451) (← links)
- Symmetry exploits for Bayesian cubature methods (Q2302452) (← links)
- On the positivity and magnitudes of Bayesian quadrature weights (Q2302459) (← links)
- A modern retrospective on probabilistic numerics (Q2302460) (← links)
- Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems (Q2310097) (← links)
- A supermartingale approach to Gaussian process based sequential design of experiments (Q2325344) (← links)
- Probabilistic integration: a role in statistical computation? (Q2325605) (← links)
- Gaussian process surrogates for failure detection: a Bayesian experimental design approach (Q2375069) (← links)
- Bayesian updating with two-step parallel Bayesian optimization and quadrature (Q2679499) (← links)
- Towards stability results for global radial basis function based quadrature formulas (Q2684451) (← links)
- Gaussian processes for time-series modelling (Q2955475) (← links)
- Bayesian non-parametrics and the probabilistic approach to modelling (Q2955477) (← links)
- Multigrid with Rough Coefficients and Multiresolution Operator Decomposition from Hierarchical Information Games (Q2960400) (← links)
- Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions (Q3386448) (← links)
- Fully Symmetric Kernel Quadrature (Q4607640) (← links)
- Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (Q4819026) (← links)
- Fast Prediction of Deterministic Functions Using Sparse Grid Experimental Designs (Q4975627) (← links)
- Sequential stratified splitting for efficient Monte Carlo integration (Q5012701) (← links)
- Collocation Methods and Beyond in Non-linear Mechanics (Q5053159) (← links)
- (Q5054647) (← links)
- Bayesian Optimization with Expensive Integrands (Q5071110) (← links)
- Confidence intervals for finite difference solutions (Q5084982) (← links)
- Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions (Q5119635) (← links)
- Bayesian Quadrature, Energy Minimization, and Space-Filling Design (Q5119636) (← links)
- A note on the accuracy of adaptive Gauss–Hermite quadrature (Q5127217) (← links)
- (Q5148932) (← links)
- Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions (Q5157268) (← links)
