4 papers · 1 filter
Blurring Mean Shift for Clustering Functional Data: A Scalable Algorithm and Convergence Analysis
Toshinari Morimoto, Ting-Li Chen, Su-Yun Huang +1
This paper extends the blurring mean shift algorithm from vector-valued data to functional data, enabling effective clustering in infinite-dimensional settings without requiring sp…
Forward Regression via Gram-Schmidt Orthogonalization for Ultra-High Dimensional Linear Models
Jialuo Chen, Zhaoxing Gao, Yifan Jiang +1
Forward regression is a classical and effective tool for variable screening in ultra-high dimensional linear models, but its standard projection-based implementation can be computa…
Modeling High-Dimensional Dependent Data in the Presence of Many Explanatory Variables and Weak Signals
Zhaoxing Gao, Ruey S. Tsay
This article considers a novel and widely applicable approach to modeling high-dimensional dependent data when a large number of explanatory variables are available and the signal-…
Denoising and Multilinear Projected-Estimation of High-Dimensional Matrix-Variate Factor Time Series
Zhaoxing Gao, Ruey S. Tsay
This paper proposes a new multi-linear projection method for denoising and estimation of high-dimensional matrix-variate factor time series. It assumes that a matri…