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Composite Likelihood Estimation for Gaussian Processes

The paper outlines a framework for composite likelihood inference of parametric continuous-time stationary Gaussian processes, focusing on the random log-spot variance of financial asset returns.

Featured in No. 45 on 17 Apr 2024 · 6 days after release

Released
11 Apr 2024
First featured
No. 45 · 17 Apr 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
3
Identifier
SSRN 4791807

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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