The following pages link to (Q4151609):
Displaying 50 items.
- Dispatching rule selection with Gaussian processes (Q301496) (← links)
- GP-DEMO: differential evolution for multiobjective optimization based on Gaussian process models (Q319093) (← links)
- A prior near-ignorance Gaussian process model for nonparametric regression (Q324678) (← links)
- Fast approximate Bayesian computation for estimating parameters in differential equations (Q517372) (← links)
- Additive cubic spline regression with Dirichlet process mixture errors (Q530952) (← links)
- Gaussian process emulation for second-order Monte Carlo simulations (Q629122) (← links)
- Variable selection for nonparametric Gaussian process priors: Models and computational strategies (Q635421) (← links)
- Investigation of optimal position of a vortex generator in a blocked channel for heat transfer enhancement of electronic chips (Q650566) (← links)
- A surrogate accelerated multicanonical Monte Carlo method for uncertainty quantification (Q727018) (← links)
- A Bayesian mixed shrinkage prior procedure for spatial-stochastic basis selection and evaluation of gPC expansions: applications to elliptic SPDEs (Q729029) (← links)
- Gaussian functional regression for output prediction: model assimilation and experimental design (Q729481) (← links)
- Spectral likelihood expansions for Bayesian inference (Q729504) (← links)
- Prediction of non-stationary response functions using a Bayesian composite Gaussian process (Q829711) (← links)
- Inference of disjoint linear and nonlinear sub-domains of a nonlinear mapping (Q875996) (← links)
- Fast update of conditional simulation ensembles (Q888401) (← links)
- Damage localisation in delaminated composite plates using a Gaussian process approach (Q904817) (← links)
- Qualitative and quantitative experiment design for phenomenological models - a survey (Q916278) (← links)
- A Bayesian approach to flexible modeling of multivariable response functions (Q923547) (← links)
- Elicitation of multivariate prior distributions: a nonparametric Bayesian approach (Q963850) (← links)
- Bayes-Hermite quadrature (Q1193957) (← links)
- Bayesian backfitting. (With comments and a rejoinder). (Q1431182) (← links)
- Efficient optimization of the likelihood function in Gaussian process modelling (Q1623425) (← links)
- Merging MCMC subposteriors through Gaussian-process approximations (Q1631561) (← links)
- On the Bayesian calibration of computer model mixtures through experimental data, and the design of predictive models (Q1686611) (← links)
- Nested polynomial trends for the improvement of Gaussian process-based predictors (Q1691892) (← links)
- Gaussian processes for unconstraining demand (Q1713757) (← links)
- Stochastic variational hierarchical mixture of sparse Gaussian processes for regression (Q1722733) (← links)
- Bayesian optimal sequential design for nonparametric regression via inhomogeneous evolutionary MCMC (Q1731202) (← links)
- Gaussian functional regression for linear partial differential equations (Q1800194) (← links)
- Bayesian variants of some classical semiparametric regression techniques (Q1886283) (← links)
- Improved inference in nonparametric regression using \(L_ k\)-smoothing splines (Q1918134) (← links)
- Calibration of computer models with multivariate output (Q1927177) (← links)
- A Bayesian approach to computing posterior distribution and quantile functions (Q1969148) (← links)
- Hybrid Gaussian process modeling applied to economic stochastic model predictive control of batch processes (Q1980571) (← links)
- Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations (Q2057377) (← links)
- A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with skew Gaussian processes (Q2071487) (← links)
- Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder-decoder surrogate (Q2096832) (← links)
- Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors (Q2179967) (← links)
- Efficient spatio-temporal Gaussian regression via Kalman filtering (Q2188275) (← links)
- Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data (Q2226688) (← links)
- Gaussian process regression with skewed errors (Q2297103) (← links)
- Iterative construction of Gaussian process surrogate models for Bayesian inference (Q2301102) (← links)
- Symmetry exploits for Bayesian cubature methods (Q2302452) (← links)
- A modern retrospective on probabilistic numerics (Q2302460) (← links)
- Gradient-based optimization for regression in the functional tensor-train format (Q2312177) (← links)
- Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic Student-\(t\) model (Q2329797) (← links)
- Gaussian process surrogates for failure detection: a Bayesian experimental design approach (Q2375069) (← links)
- A branch and bound algorithm for the global optimization of Hessian Lipschitz continuous functions (Q2393063) (← links)
- Exploiting Hessian matrix and trust-region algorithm in hyperparameters estimation of Gaussian process (Q2491022) (← links)
- Integrated likelihood inference in semiparametric regression models (Q2513694) (← links)
