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A Polynomial Chaos Expansion in Dependent Random Variables

A Polynomial Chaos Expansion in Dependent Random Variables

12 April 2018
S. Rahman
ArXiv (abs)PDFHTML

Papers citing "A Polynomial Chaos Expansion in Dependent Random Variables"

5 / 5 papers shown
Title
Polynomial Chaos Expansions on Principal Geodesic Grassmannian
  Submanifolds for Surrogate Modeling and Uncertainty Quantification
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification
Dimitris G. Giovanis
Dimitrios Loukrezis
Ioannis G. Kevrekidis
Michael D. Shields
77
4
0
30 Jan 2024
The Mean Dimension of Neural Networks -- What causes the interaction
  effects?
The Mean Dimension of Neural Networks -- What causes the interaction effects?
Roman Hahn
Christoph Feinauer
E. Borgonovo
FAtt
55
2
0
11 Jul 2022
A Spline Dimensional Decomposition for Uncertainty Quantification in
  High Dimensions
A Spline Dimensional Decomposition for Uncertainty Quantification in High Dimensions
S. Rahman
Ramin Jahanbin
22
16
0
25 Nov 2021
Data-driven sparse polynomial chaos expansion for models with dependent
  inputs
Data-driven sparse polynomial chaos expansion for models with dependent inputs
Zhanlin Liu
Youngjun Choe
33
1
0
20 Jan 2021
A Spline Chaos Expansion
A Spline Chaos Expansion
S. Rahman
20
22
0
08 Nov 2019
1