Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality
This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2608.25468v1 Announce Type: cross Abstract: Functional data analysis is an important statistical field that treats data as random functions. In practice, the random functions are often not fully observed but instead measured at discrete times. While simpler problems, such as mean and covarian…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-08-27 04:00 · arXiv stat.ML
Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality