Using Radial Basis Functions for Control Variate Integration of High-Dimensional Functions Defined by Sparse Sample Data

Lin Li, James M. Hyman

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DOI: 10.21203/rs.3.rs-6720522/v1
Published: 2025-06-25
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-6720522/v1,
  title = {Using Radial Basis Functions for Control Variate Integration of High-Dimensional Functions Defined by Sparse Sample Data},
  author = {Lin Li and James M. Hyman},
  year = {2025},
  doi = {10.21203/rs.3.rs-6720522/v1},
  url = {https://doi.org/10.21203/rs.3.rs-6720522/v1}
}

RIS

TY  - JOUR
TI  - Using Radial Basis Functions for Control Variate Integration of High-Dimensional Functions Defined by Sparse Sample Data
AU  - Lin Li
AU  - James M. Hyman
PY  - 2025
DO  - 10.21203/rs.3.rs-6720522/v1
UR  - https://doi.org/10.21203/rs.3.rs-6720522/v1
ER  -

APA

Li, L., & Hyman, J. M. (2025). Using Radial Basis Functions for Control Variate Integration of High-Dimensional Functions Defined by Sparse Sample Data. https://doi.org/10.21203/rs.3.rs-6720522/v1

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crossref · retrieved 2026-11-10T11:51:43.134Z