Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy (2023)
Attributed to:
Strategic Priorities Fund - AI for Science, Engineering, Health and Government
funded by
SPF
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2304.14762
Publication URI: https://arxiv.org/abs/2304.14762
Type: Preprint