The generalization of Latin hypercube sampling
MD Shields, J Zhang - Reliability Engineering & System Safety, 2016 - Elsevier
Latin hypercube sampling (LHS) is generalized in terms of a spectrum of stratified sampling
(SS) designs referred to as partially stratified sample (PSS) designs. True SS and LHS are …
(SS) designs referred to as partially stratified sample (PSS) designs. True SS and LHS are …
Refined stratified sampling for efficient Monte Carlo based uncertainty quantification
A general adaptive approach rooted in stratified sampling (SS) is proposed for sample-
based uncertainty quantification (UQ). To motivate its use in this context the space-filling …
based uncertainty quantification (UQ). To motivate its use in this context the space-filling …
Evaluation of seismic reliability of gravity dam-reservoirinhomogeneous foundation coupled system
The seismic performance of gravity dam-reservoir-foundation coupled system is investigated
utilizing probabilistic approach. In this research, the uncertainties associated with modeling …
utilizing probabilistic approach. In this research, the uncertainties associated with modeling …
Orthogonal polynomial expansions for solving random eigenvalue problems
This paper examines two stochastic methods stemming from polynomial dimensional
decomposition (PDD) and polynomial chaos expansion (PCE) for solving random …
decomposition (PDD) and polynomial chaos expansion (PCE) for solving random …
An integrated DEA-based approach for evaluating and sizing health care supply chains
Purpose Evaluating the performance of supply chains is a convoluted task because of the
complexity that is inextricably linked to the structure of the aforesaid chains. Therefore, the …
complexity that is inextricably linked to the structure of the aforesaid chains. Therefore, the …
Efficient and robust gradient enhanced Kriging emulators.
KR Dalbey - 2013 - osti.gov
% E2% 80% 9CNaive% E2% 80% 9D or straight-forward Kriging implementations can often
perform poorly in practice. The relevant features of the robustly accurate and efficient Kriging …
perform poorly in practice. The relevant features of the robustly accurate and efficient Kriging …
Refined latinized stratified sampling: A robust sequential sample size extension methodology for high-dimensional latin hypercube and stratified designs
MD Shields - International Journal for Uncertainty …, 2016 - dl.begellhouse.com
ABSTRACT A robust sequential sampling method, refined latinized stratified sampling, for
simulation-based uncertainty quantification and reliability analysis is proposed. The method …
simulation-based uncertainty quantification and reliability analysis is proposed. The method …
[PDF][PDF] Kriging-based black-box global optimization: analysis and new algorithms
H Mohammadi - 2016 - ore.exeter.ac.uk
Although GPs can model stochastic or deterministic spatial phenomena, the focus of this
work is on experiments with deterministic outputs. Computer simulations provide examples …
work is on experiments with deterministic outputs. Computer simulations provide examples …
Gaussian process adaptive importance sampling
KR Dalbey, LP Swiler - International Journal for Uncertainty …, 2014 - dl.begellhouse.com
The objective is to calculate the probability, PF, that a device will fail when its inputs, x, are
randomly distributed with probability density, p (x), eg, the probability that a device will …
randomly distributed with probability density, p (x), eg, the probability that a device will …
基于双层代理模型的无人机气动隐身综合设计
张德虎， 高正红， 李焦赞， 黄礼铿 - 空气动力学学报, 2013 - kqdlxxb.xml-journal.net
基于双层代理模型方法展开飞翼布局无人机气动隐身综合设计方法研究. DSM
模型集成了插值型代理模型和回归型代理模型的优点, 在同样样本的条件下 …
模型集成了插值型代理模型和回归型代理模型的优点, 在同样样本的条件下 …