Pages that link to "Item:Q4819026"

The following pages link to Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (Q4819026):

Displaying 50 items.

• Nonparametric estimation of the first order Sobol indices with bootstrap bandwidth (Q145558) (← links)
• Sensitivity analysis for Bayesian hierarchical models (Q273598) (← links)
• Sensitivity analysis: a review of recent advances (Q320799) (← links)
• Validation of a decision support model for investigation and improvement in stroke thrombolysis (Q323137) (← links)
• Selection of model discrepancy priors in Bayesian calibration (Q349574) (← links)
• Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions (Q381435) (← links)
• Robust design optimization by polynomial dimensional decomposition (Q382035) (← links)
• Estimating sensitivity indices based on Gaussian process metamodels with compactly supported correlation functions (Q389439) (← links)
• Estimation of the Sobol indices in a linear functional multidimensional model (Q394578) (← links)
• General formulation of HDMR component functions with independent and correlated variables (Q424182) (← links)
• A hybrid spectral and metamodeling approach for the stochastic finite element analysis of structural dynamic systems (Q460849) (← links)
• Metamodelling with independent and dependent inputs (Q463030) (← links)
• Dynamic inverse prediction and sensitivity analysis with high-dimensional responses: application to climate-change vulnerability of biodiversity (Q486055) (← links)
• Node harvest (Q542973) (← links)
• Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (Q615042) (← links)
• Gaussian process emulation for second-order Monte Carlo simulations (Q629122) (← links)
• From screening to quantitative sensitivity analysis. A unified approach (Q634082) (← links)
• Sequential design of computer experiments for the estimation of a probability of failure (Q693305) (← links)
• Gaussian processes with built-in dimensionality reduction: applications to high-dimensional uncertainty propagation (Q726924) (← links)
• Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian inverse problems (Q729447) (← links)
• Bayesian local influence for survival models (Q746090) (← links)
• Efficient emulators of computer experiments using compactly supported correlation functions, with an application to cosmology (Q765992) (← links)
• Sparse polynomial chaos expansions using variational relevance vector machines (Q781971) (← links)
• Analysing DSGE models with global sensitivity analysis (Q928139) (← links)
• A Bayesian calibration approach to the thermal problem (Q929028) (← links)
• Bayesian stochastic modelling for avalanche predetermination: from a general system framework to return period computations (Q954668) (← links)
• Reified Bayesian modelling and inference for physical systems (Q1007510) (← links)
• MCMC-based local parametric sensitivity estimations (Q1010424) (← links)
• Bayesian emulation of complex multi-output and dynamic computer models (Q1044055) (← links)
• Mathematical modelling of the stochastic mechanical properties of wood and its extensibility at small scales (Q1631995) (← links)
• Reverse sensitivity testing: what does it take to break the model? (Q1634305) (← links)
• An adaptive least-squares global sensitivity method and application to a plasma-coupled combustion prediction with parametric correlation (Q1637558) (← links)
• A probabilistic procedure for quantifying the relative importance of model inputs characterized by second-order probability models (Q1644897) (← links)
• Emulation engines: choice and quantification of uncertainty for complex hydrological models (Q1654550) (← links)
• Global sensitivity analysis: a generalized, unbiased and optimal estimator of total-effect variance (Q1706477) (← links)
• Emulated multivariate global sensitivity analysis for complex computer models applied to agricultural simulators (Q1722636) (← links)
• Functional emulation of high resolution tsunami modelling over cascadia (Q1728628) (← links)
• A global tolerance approach to sensitivity analysis in linear programming (Q1754243) (← links)
• The effect of the nugget on Gaussian process emulators of computer models (Q1927203) (← links)
• Gaussian process modeling with inequality constraints (Q1931810) (← links)
• A comparison of two sampling methods for global sensitivity analysis (Q1948862) (← links)
• Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning (Q1951519) (← links)
• Machine learning in drug development: characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification (Q1987901) (← links)
• Systems of Gaussian process models for directed chains of solvers (Q1988026) (← links)
• Probabilistic sensitivity measures as information value (Q2029043) (← links)
• Analyzing stochastic computer models: a review with opportunities (Q2075795) (← links)
• Robust prediction interval estimation for Gaussian processes by cross-validation method (Q2101380) (← links)
• Calibrate, emulate, sample (Q2123875) (← links)
• Clustered active-subspace based local Gaussian process emulator for high-dimensional and complex computer models (Q2134712) (← links)
• Exploring dynamical properties of a type 1 diabetes model using sensitivity approaches (Q2146697) (← links)