Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish (US)
Title of host publicationAccepted in "International Parallel and Distributed Processing Symposium, 2022"
StatePublished - 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-02-19
Acknowledgements: This work is funded and supported by King Abdullah University of Science and Technology (KAUST) through the Office of Sponsored Research (OSR). We would also like to acknowledge Intel for support in the form of an Intel Parallel Computing Center award Cray for the support provided during the Center of Excellence award to the Extreme Computing Research Center at KAUST. This research used the resources of the Extreme Computing Research Center (ECRC) and the KAUST Supercomputing Laboratory, including Cray XC40, Shaheen II supercomputer.

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