Pages that link to "Item:Q1603276"

The following pages link to Making best use of model evaluations to compute sensitivity indices (Q1603276):

Displaying 50 items.

• Systems of Gaussian process models for directed chains of solvers (Q1988026) (← links)
• On the separability of multivariate functions (Q1997520) (← links)
• Derivative-based generalized sensitivity indices and Sobol' indices (Q1997929) (← links)
• Derivative-based integral equalities and inequality: a proxy-measure for sensitivity analysis (Q1998235) (← links)
• Modeling the prescription opioid epidemic (Q2002111) (← links)
• Preparing input data for sensitivity analysis of an air pollution model by using high-performance supercomputers and algorithms (Q2006562) (← links)
• Iterative estimation of Sobol' indices based on replicated designs (Q2027710) (← links)
• Optimal in-store fulfillment policies for online orders in an omni-channel retail environment (Q2030356) (← links)
• Sensitivity analysis of queueing models based on polynomial chaos approach (Q2053746) (← links)
• Importance measure analysis of design variables and uncertain parameters in multidisciplinary systems (Q2109534) (← links)
• Mathematical model of triple-negative breast cancer in response to combination chemotherapies (Q2111185) (← links)
• Phage-antibiotic synergy inhibited by temperate and chronic virus competition (Q2127650) (← links)
• Efficient uncertain \(k_{\mathrm{eff}}\) computations with the Monte Carlo resolution of generalised polynomial chaos based reduced models (Q2133777) (← links)
• Efficient uncertainty propagation for photonics: combining implicit semi-analog Monte Carlo (ISMC) and Monte Carlo generalised polynomial chaos (MC-gPC) (Q2134693) (← links)
• A machine learning method for real-time numerical simulations of cardiac electromechanics (Q2138843) (← links)
• A predictive multiphase model of silica aerogels for building envelope insulations (Q2150246) (← links)
• Error analysis of a model order reduction framework for financial risk analysis (Q2153946) (← links)
• Input parameter and thermal load representation uncertainties effects on the buckling and dynamic characteristics of cylindrical tubes (Q2168437) (← links)
• Propagation of uncertainty in the mechanical and biological response of growing tissues using multi-fidelity Gaussian process regression (Q2175100) (← links)
• Interpreting stochastic agent-based models of cell death (Q2175264) (← links)
• Quantifying forcing uncertainties in the hydrodynamics of the Gironde estuary (Q2187904) (← links)
• Uncertainty quantification: a minimum variance unbiased (joint) estimator of the non-normalized Sobol' indices (Q2208405) (← links)
• On the use of derivatives in the polynomial chaos based global sensitivity and uncertainty analysis applied to the distributed parameter models (Q2214566) (← links)
• Adaptive sparse polynomial dimensional decomposition for derivative-based sensitivity (Q2221403) (← links)
• Derivative-based global sensitivity measures: general links with Sobol' indices and numerical tests (Q2227333) (← links)
• Global sensitivity analysis of a homogenized constrained mixture model of arterial growth and remodeling (Q2231105) (← links)
• Exploring the sensitivity in jellyfish locomotion under variations in scale, frequency, and duty cycle (Q2244905) (← links)
• Exploring the variance contributions of correlated model parameters: a sampling-based approach and its application in traffic simulation models (Q2247284) (← links)
• A new methodology based on covariance and HDMR for global sensitivity analysis (Q2282642) (← links)
• Efficient numerical simulation method for evaluations of global sensitivity analysis with parameter uncertainty (Q2286008) (← links)
• Global sensitivity analysis using support vector regression (Q2294004) (← links)
• Global sensitivity analysis for the design of nonlinear identification experiments (Q2296881) (← links)
• Nonparametric estimation of probabilistic sensitivity measures (Q2302500) (← links)
• Sequential sensitivity analysis of expensive black-box simulators with metamodelling (Q2308244) (← links)
• Bayesian sparse polynomial chaos expansion for global sensitivity analysis (Q2309099) (← links)
• Conceptual implementation of the variance-based sensitivity analysis for the calculation of the first-order effects (Q2323194) (← links)
• Global sensitivity analysis used to interpret biological experimental results (Q2346898) (← links)
• Global sensitivity analysis based on high-dimensional sparse surrogate construction (Q2363869) (← links)
• Sensitivity analysis of the variance contributions with respect to the distribution parameters by the kernel function (Q2364215) (← links)
• Derivative based global sensitivity measures and their link with global sensitivity indices (Q2390399) (← links)
• Sampling plans based on balanced incomplete block designs for evaluating the importance of computer model inputs (Q2498768) (← links)
• Goal-oriented error estimation for the reduced basis method, with application to sensitivity analysis (Q2631042) (← links)
• Modeling the synergistic properties of drugs in hormonal treatment for prostate cancer (Q2659871) (← links)
• A combined finite element and machine learning approach for the prediction of specific cutting forces and maximum tool temperatures in machining (Q2672193) (← links)
• Parameter sensitivity for wave-breaking closures in Boussinesq-type models (Q2677916) (← links)
• Toward selecting optimal predictive multiscale models (Q2679323) (← links)
• An analysis of parameter sensitivities of preference-inspired co-evolutionary algorithms (Q2792177) (← links)
• Mathematical analysis of the transmission dynamics of brucellosis among bison (Q2795392) (← links)
• New sensitivity analysis subordinated to a contrast (Q2816419) (← links)
• A new algorithm for importance analysis of the inputs with distribution parameter uncertainty (Q2821322) (← links)