Pages that link to "Item:Q1927177"

The following pages link to Calibration of computer models with multivariate output (Q1927177):

Displaying 25 items.

• A theoretical framework of the scaled Gaussian stochastic process in prediction and calibration (Q96361) (← links)
• Calibration for computer experiments with binary responses and application to cell adhesion study (Q149466) (← links)
• Multivariate stochastic process models for correlated responses of mixed type (Q516511) (← links)
• A hierarchical framework for statistical model calibration in engineering product development (Q653679) (← links)
• Efficient calibration for imperfect computer models (Q892237) (← links)
• \textit{KrigInv}: an efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging (Q1621382) (← links)
• On the Bayesian calibration of computer model mixtures through experimental data, and the design of predictive models (Q1686611) (← links)
• Cross validation and maximum likelihood estimations of hyper-parameters of Gaussian processes with model misspecification (Q1800115) (← links)
• A fast and calibrated computer model emulator: an empirical Bayes approach (Q2058785) (← links)
• Analyzing stochastic computer models: a review with opportunities (Q2075795) (← links)
• Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration (Q2110192) (← links)
• Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling (Q2170435) (← links)
• Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes (Q2180085) (← links)
• Maximum likelihood estimation for Gaussian processes under inequality constraints (Q2323946) (← links)
• Cross-validation estimation of covariance parameters under fixed-domain asymptotics (Q2401354) (← links)
• Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes (Q2637600) (← links)
• A composite likelihood approach to computer model calibration with high-dimensional spatial data (Q3195204) (← links)
• Gaussian processes for computer experiments (Q4606435) (← links)
• Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation (Q4611533) (← links)
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• Asymptotic Analysis of Maximum Likelihood Estimation of Covariance Parameters for Gaussian Processes: An Introduction with Proofs (Q5871001) (← links)
• Bayesian Projected Calibration of Computer Models (Q5881976) (← links)
• Gaussian orthogonal latent factor processes for large incomplete matrices of correlated data (Q6121983) (← links)
• A review on computer model calibration (Q6604366) (← links)
• Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates (Q6631099) (← links)