Self-affine time series: applications and models
Jon D. Pelletier, Donald L. Turcotte (Geological Sciences, Cornell, U.)
TL;DR
This paper reviews the concept of self-affine time series, exploring their applications across climate, sedimentation, and geomagnetism, and discusses models that describe their space-time variability.
Contribution
It provides a comprehensive overview of self-affine time series, highlighting new models and applications in various scientific fields.
Findings
Self-affine models effectively describe climate variability.
Applications improve understanding of sedimentation processes.
Insights into geomagnetic fluctuations are enhanced.
Abstract
A review paper considering space-time variability of climate, sedimentation, and geomagnetism.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Systems and Time Series Analysis · Time Series Analysis and Forecasting