Using perturbation to improve goodness-of-fit tests based on kernelized Stein discrepancy

Liu, Xing; Duncan, Andrew B; Gandy, Axel

Dear Spiral user, We’re pleased to introduce Helix, https://helix.imperial.ac.uk/ Imperial’s new repository for research datasets. Please use Helix for all future dataset deposits. There is no change to Spiral - continue depositing as usual. For queries, contact the Research Data Management team at rdm-enquiries@imperial.ac.uk. Kind regards, the Spiral Team. The Spiral team

Using perturbation to improve goodness-of-fit tests based on kernelized Stein discrepancy

File(s)

31_using_perturbation_to_improve_.pdf (3.17 MB)

Preprint version

Author(s)

Liu, Xing

Duncan, Andrew B

Gandy, Axel

Type

Preprint

Date Issued

2023-04-28

Citation

arXiv, 2023

URI

http://hdl.handle.net/10044/1/106304

Journal / Book Title

arXiv

Identifier

http://arxiv.org/abs/2304.14762v3