Works (7)
Updated: July 5th, 2023 15:54
2020 journal article
Sequential Optimization in Locally Important Dimensions
TECHNOMETRICS, 63(2), 236–248.
author keywords: Augmented expected improvement; Bayesian analysis; Computer experiments; Gaussian process; Local importance; Sequential design
TL;DR:
A sequential design algorithm called sequential optimization in locally important dimensions (SOLID) is developed that incorporates global and local variable selection to optimize a continuous, differentiable function.
(via Semantic Scholar)
open access via arxiv.org (repository)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: March 16, 2020
2012 journal article
Variable selection for high dimensional Bayesian density estimation: application to human exposure simulation
Journal of the Royal Statistical Society. Series C, Applied Statistics, 61, 47–66.
Source: NC State University Libraries
Added: August 6, 2018
2011 journal article
Surface estimation, variable selection, and the nonparametric oracle property
Statistica Sinica, 21(2), 679–705.
Source: NC State University Libraries
Added: August 6, 2018
2010 journal article
A Locally Adaptive Penalty for Estimation of Functions With Varying Roughness
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 19(3), 569–589.
author keywords: L-Spline; Local bandwidth; Nonparametric regression; Regularization method; Spatially adaptive smoothing; SS-ANOVA
TL;DR:
The Loco-Spline substantially outperforms the traditional smoothing spline and the locally adaptive kernel smoother and achieves optimal MSE rate of convergence in a simulation study.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018
2008 review
Multiple predictor smoothing methods for sensitivity analysis: Description of techniques
[Review of ]. Reliability Engineering & System Safety, 93(1), 28–54.
Source: NC State University Libraries
Added: August 6, 2018
2007 journal article
A sampling-based computational strategy for the representation of epistemic uncertainty in model predictions with evidence theory
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 196(37-40), 3980–3998.
author keywords: dempster-shafer theory; epistemic uncertainty; evidence theory; Monte Carlo; numerical uncertainty propagation; sensitivity analysis; uncertainty analysis
TL;DR:
Preliminary trials indicate that the presented strategy can be used to propagate uncertainty representations based on evidence theory in analysis situations where naive sampling-based (i.e., unsophisticated Monte Carlo) procedures are impracticable due to computational cost.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2007 journal article
Multiple predictor smoothing methods for sensitivity analysis: Example results
RELIABILITY ENGINEERING & SYSTEM SAFETY, 93(1), 55–77.
author keywords: additive models; epistemic uncertainty; locally weighted regression; nonparametric regression; projection pursuit regression; recursive partitioning regression; scatterplot smoothing; sensitivity analysis; stepwise selection; uncertainty analysis
TL;DR:
Using multiple predictor smoothing methods in sampling-based sensitivity analyses of complex models can yield more informative sensitivity analysis results than can be obtained with more traditional sensitivity analysis procedures based on linear regression, rank regression or quadratic regression when nonlinear relationships between model inputs and model predictions are present.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
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