Data-driven probability concentration and sampling on manifold-Reference-Cited by-同舟云学术

Data-driven probability concentration and sampling on manifold

Published:2016-09 Issue: Volume:321 Page:242-258
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Soize C.,Ghanem R.

Funder

Advanced Scientific Computing Research

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

Reference38 articles.

1. Applied Smoothing Techniques for Data Analysis;Bowman,1997

2. Multivariate Density Estimation: Theory, Practice, and Visualization;Scott,2015

3. Statistical and Computational Inverse Problems;Kaipio,2005

4. Monte Carlo Statistical Methods;Robert,2005

5. Introduction to Stochastic Search and Optimization;Spall,2003

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