The following pages link to (Q3394879):
Displaying 50 items.
- Interpretable sparse SIR for functional data (Q61772) (← links)
- Comparison of Gaussian process modeling software (Q65764) (← links)
- MAGMA: inference and prediction using multi-task Gaussian processes with common mean (Q80870) (← links)
- Hilbert space methods for reduced-rank Gaussian process regression (Q91877) (← links)
- Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming (Q91882) (← links)
- Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity (Q92247) (← links)
- Quantifying Uncertainties on Excursion Sets Under a Gaussian Random Field Prior (Q97314) (← links)
- A Bayesian optimization approach to find Nash equilibria (Q116040) (← links)
- Accurate and efficient numerical calculation of stable densities via optimized quadrature and asymptotics (Q144909) (← links)
- A generalized Gaussian process model for computer experiments with binary time series (Q153075) (← links)
- The Rational SPDE Approach for Gaussian Random Fields With General Smoothness (Q160195) (← links)
- Maximum entropy properties of discrete-time first-order stable spline kernel (Q254525) (← links)
- Artificial boundary conditions and domain truncation in electrical impedance tomography. II: Stochastic extension of the boundary map (Q256056) (← links)
- Error estimation properties of Gaussian process models in stochastic simulations (Q257244) (← links)
- Smoothed model checking for uncertain continuous-time Markov chains (Q259074) (← links)
- Functional models for longitudinal data with covariate dependent smoothness (Q259188) (← links)
- Robust EM kernel-based methods for linear system identification (Q259415) (← links)
- A case study of the widely applicable Bayesian information criterion and its optimality (Q261023) (← links)
- Sampling, feasibility, and priors in data assimilation (Q262096) (← links)
- Analysis of multi-objective Kriging-based methods for constrained global optimization (Q263179) (← links)
- A simplified criterion for quasi-polynomial tractability of approximation of random elements and its applications (Q272187) (← links)
- Predictions based on the clustering of heterogeneous functions via shape and subject-specific covariates (Q273602) (← links)
- Bayesian nonparametric weighted sampling inference (Q273622) (← links)
- A new kernel-based approach to hybrid system identification (Q290817) (← links)
- Dispatching rule selection with Gaussian processes (Q301496) (← links)
- A graph theoretical approach to data fusion (Q306678) (← links)
- Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks (Q309544) (← links)
- Automatised selection of load paths to construct reduced-order models in computational damage micromechanics: from dissipation-driven random selection to Bayesian optimization (Q310267) (← links)
- Transfer function and transient estimation by Gaussian process regression in the frequency domain (Q311958) (← links)
- A kernel-based method for data-driven Koopman spectral analysis (Q317185) (← links)
- GP-DEMO: differential evolution for multiobjective optimization based on Gaussian process models (Q319093) (← links)
- Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations (Q319103) (← links)
- Statistical emulators for pricing and hedging longevity risk products (Q320257) (← links)
- Effective sample size for line transect sampling models with an application to marine macroalgae (Q321444) (← links)
- A prior near-ignorance Gaussian process model for nonparametric regression (Q324678) (← links)
- Computationally efficient algorithm for Gaussian process regression in case of structured samples (Q327224) (← links)
- Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models (Q340712) (← links)
- Variational inference for sparse spectrum Gaussian process regression (Q341145) (← links)
- Data-driven stabilization of unknown nonlinear dynamical systems using a cognition-based framework (Q345848) (← links)
- Hybrid nested sampling algorithm for Bayesian model selection applied to inverse subsurface flow problems (Q348583) (← links)
- Selection of model discrepancy priors in Bayesian calibration (Q349574) (← links)
- Enhancing adaptive sparse grid approximations and improving refinement strategies using adjoint-based a posteriori error estimates (Q349696) (← links)
- An efficient and versatile approach to trust and reputation using hierarchical Bayesian modelling (Q359995) (← links)
- Distributed parametric and nonparametric regression with on-line performance bounds computation (Q361001) (← links)
- Adaptive regularization of weight vectors (Q374184) (← links)
- Efficient reliability analysis based on Bayesian framework under input variable and metamodel uncertainties (Q381867) (← links)
- Multi-output local Gaussian process regression: applications to uncertainty quantification (Q385889) (← links)
- Conditional estimation for dependent functional data (Q391792) (← links)
- On asymptotic properties of Bayesian partially linear models (Q395922) (← links)
- On Bayesian estimation of regression models subject to uncertainty about functional constraints (Q395946) (← links)
