Computing f‐divergences and distances of high‐dimensional probability density functions-Reference-Cited by-同舟云学术

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Computing f‐divergences and distances of high‐dimensional probability density functions

Published:2022-09-06 Issue:3 Volume:30 Page:
ISSN:1070-5325
Container-title:Numerical Linear Algebra with Applications
language:en
Short-container-title:Numerical Linear Algebra App

Author:

Litvinenko Alexander¹^ORCID,Marzouk Youssef²,Matthies Hermann G.³,Scavino Marco⁴,Spantini Alessio²

Affiliation:

1. Department of Mathematics RWTH Aachen University Aachen Germany

2. Department of Aeronautics and Astronautics MIT Cambridge Massachusetts USA

3. Carl‐Friedrich‐Gauß‐Fakultät TU Braunschweig Aachen Germany

4. Departamento de Métodos Matemático‐Cuantitativos Universidad de la República, IESTA Montevideo Uruguay

Funder

Alexander von Humboldt-Stiftung

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nla.2467

Reference121 articles.

1. Polynomial Chaos: Modeling, Estimation, and Approximation

2. Uncertainty Quantification with Stochastic Finite Elements

3. Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations

4. Tensor Spaces and Numerical Tensor Calculus

5. On Divergences and Informations in Statistics and Information Theory

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multiscale Entanglement Renormalization Ansatz: Causality and Error Correction;Dynamics;2023-09-18

2. Editorial: Tensor numerical methods and their application in scientific computing and data science;Numerical Linear Algebra with Applications;2023-01-31

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