Scholarlink

We propose a natural intrinsic extension of the ridge regression from Euclidean spaces to general manifolds, which relies on Riemannian least-squares fitting, empirical covariance, and Mahalanobis distance. We utilize it for time-series prediction and apply the approach to forecast hurricane tracks and their intensities (maximum wind speeds).

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Ridge Regression for Manifold-Valued Time-Series with Application to Hurricane Forecasting

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Esfandiar Nava-Yazdani

摘要

We propose a natural intrinsic extension of the ridge regression from Euclidean spaces to general manifolds, which relies on Riemannian least-squares fitting, empirical covariance, and Mahalanobis distance. We utilize it for time-series prediction and apply the approach to forecast hurricane tracks and their intensities (maximum wind speeds).