Pages that link to "Item:Q2388348"
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The following pages link to Default priors for Gaussioan processes (Q2388348):
Displaying 36 items.
- Scaled Gaussian Stochastic Process for Computer Model Calibration and Prediction (Q96359) (← links)
- Objective Bayesian analysis for autoregressive models with nugget effects (Q392085) (← links)
- Objective Bayesian analysis for a spatial model with nugget effects (Q419315) (← links)
- Objective Bayesian analysis for the normal compositional model (Q434916) (← links)
- Objective Bayesian analysis of geometrically anisotropic spatial data (Q486071) (← links)
- Fixed-domain asymptotics of the maximum likelihood estimator and the Gaussian process approach for deterministic models (Q545143) (← links)
- Sequential design of computer experiments for the estimation of a probability of failure (Q693305) (← links)
- Efficient emulators of computer experiments using compactly supported correlation functions, with an application to cosmology (Q765992) (← links)
- Bayesian emulation of complex multi-output and dynamic computer models (Q1044055) (← links)
- A frequency-calibrated Bayesian search for new particles (Q1621052) (← links)
- Gaussian process hyper-parameter estimation using parallel asymptotically independent Markov sampling (Q1659011) (← links)
- Empirical Bayes scaling of Gaussian priors in the white noise model (Q1951145) (← links)
- Robust Gaussian stochastic process emulation (Q1991689) (← links)
- A dynamic bi-orthogonal field equation approach to efficient Bayesian inversion (Q2011888) (← links)
- Propriety of the reference posterior distribution in Gaussian process modeling (Q2054503) (← links)
- Approximate Bayesian conditional copulas (Q2076116) (← links)
- Robust additive Gaussian process models using reference priors and cut-off-designs (Q2307104) (← links)
- Jointly robust prior for Gaussian stochastic process in emulation, calibration and variable selection (Q2316987) (← links)
- Objective Bayesian analysis for CAR models (Q2393157) (← links)
- Objective Bayesian analysis of spatial models with separable correlation functions (Q2851581) (← links)
- Objective Bayesian analysis of spatial data with uncertain nugget and range parameters (Q2856543) (← links)
- A note of the approximation of likelihood function for a spatial model (Q3535314) (← links)
- Flexible Correlation Structure for Accurate Prediction and Uncertainty Quantification in Bayesian Gaussian Process Emulation of a Computer Model (Q4636399) (← links)
- Coupling Computer Models through Linking Their Statistical Emulators (Q4689169) (← links)
- Efficient sequential experimental design for surrogate modeling of nested codes (Q4967799) (← links)
- Optimal compromise between incompatible conditional probability distributions, with application to Objective Bayesian Kriging (Q4967800) (← links)
- A Proposal for Informative Default Priors Scaled by the Standard Error of Estimates (Q5050789) (← links)
- Regularized Aggregation of One-Off Probability Predictions (Q5060523) (← links)
- Objective Bayesian Analysis of a Cokriging Model for Hierarchical Multifidelity Codes (Q5139355) (← links)
- Evaluation of image registration spatial accuracy using a Bayesian hierarchical model (Q5170206) (← links)
- Constructing Priors that Penalize the Complexity of Gaussian Random Fields (Q5229926) (← links)
- Gaussian Process Modeling of Finite Element Models with Functional Inputs (Q5237189) (← links)
- A Generalized Polynomial Chaos-Based Method for Efficient Bayesian Calibration of Uncertain Computational Models (Q5244949) (← links)
- Gaussian orthogonal latent factor processes for large incomplete matrices of correlated data (Q6121983) (← links)
- The slice sampler and centrally symmetric distributions (Q6614297) (← links)
- A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input (Q6631071) (← links)
