Semiparametric KSD test: unifying score and distance-based approaches for goodness-of-fit testing
Analysis
The article introduces a new goodness-of-fit test, the Semiparametric KSD test, which aims to combine the strengths of score and distance-based approaches. This suggests a potential advancement in statistical testing methodologies, possibly leading to more robust and versatile methods for evaluating model fit. The source being ArXiv indicates this is a pre-print, so peer review is pending.
Key Takeaways
- •Introduces a new goodness-of-fit test called the Semiparametric KSD test.
- •The test unifies score and distance-based approaches.
- •The source is ArXiv, indicating a pre-print.
Reference
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