Recovering Missing Time Series Data with Isometric Delay-Embedding
Published:Dec 11, 2025 01:04
•1 min read
•ArXiv
Analysis
This ArXiv paper proposes a novel method for recovering missing data in multidimensional time series, a common problem in fields utilizing temporal data. The use of isometric delay-embedding techniques suggests a focus on preserving geometric properties during reconstruction, potentially leading to accurate results.
Key Takeaways
Reference
“The paper focuses on recovering missing data in multidimensional time series.”