The following pages link to (Q4151609):
Displaying 26 items.
- On average case complexity of linear problems with noisy information (Q2638754) (← links)
- GParareal: a time-parallel ODE solver using Gaussian process emulation (Q2680306) (← links)
- Surrogate-Based Methods (Q3020436) (← links)
- Fully Symmetric Kernel Quadrature (Q4607640) (← links)
- (Q4636971) (← links)
- The Importance and Challenges of Bayesian Parameter Learning in Systems Biology (Q4928947) (← links)
- A scalable gaussian process analysis algorithm for biomass monitoring (Q4969794) (← links)
- Varying Coefficient Models and Design Choice for Bayes Linear Emulation of Complex Computer Models with Limited Model Evaluations (Q5075228) (← links)
- Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions (Q5157268) (← links)
- Cholesky-Based Experimental Design for Gaussian Process and Kernel-Based Emulation and Calibration (Q5163220) (← links)
- Bankruptcy Prediction: A Comparison of Some Statistical and Machine Learning Techniques (Q5198550) (← links)
- (Q5214205) (← links)
- Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation (Q5741201) (← links)
- What are the Most Important Statistical Ideas of the Past 50 Years? (Q5881991) (← links)
- Properties of optimal polynomial designs under smoothing spline models (Q5929957) (← links)
- On the robustness to outliers of the Student‐t process (Q6049757) (← links)
- A SUR version of the Bichon criterion for excursion set estimation (Q6171772) (← links)
- Robust optimal designs using a model misspecification term (Q6179145) (← links)
- A strong form based moving kriging collocation method for the numerical solution of partial differential equations with mixed boundary conditions (Q6553265) (← links)
- A MCMC method based on surrogate model and Gaussian process parameterization for infinite Bayesian PDE inversion (Q6553787) (← links)
- An informative prior distribution on functions with application to functional regression (Q6555337) (← links)
- Learning low-dimensional structure in house price indices (Q6580695) (← links)
- A large-scale spatio-temporal binomial regression model for estimating seroprevalence trends (Q6626025) (← links)
- A Bayesian spatiotemporal model of panel design data: airborne particle number concentration in Brisbane, Australia (Q6626102) (← links)
- Qualifying drug dosing regimens in pediatrics using Gaussian processes (Q6627782) (← links)
- Optimization of expensive black-box problems with penalized expected improvement (Q6663338) (← links)
