35 citations · 84 across the 14 of their papers we have counts for
5 papers · 1 filter
Online Generalized Additive Model
Ying Yang, Fang Yao
Additive models and generalized additive models are effective semiparametric tools for multidimensional data. In this article we propose an online smoothing backfitting method for…
Test of Weak Separability for Spatially Stationary Functional Field
Decai Liang, Hui Huang, Yongtao Guan +1
For spatially dependent functional data, a generalized Karhunen-Loève expansion is commonly used to decompose data into an additive form of temporal components and spatially correl…
Online Estimation for Functional Data
Ying Yang, Fang Yao
Functional data analysis has attracted considerable interest and is facing new challenges, one of which is the increasingly available data in a streaming manner. In this article we…
Intrinsic Wasserstein Correlation Analysis
Hang Zhou, Zhenhua Lin, Fang Yao
We develop a framework of canonical correlation analysis for distribution-valued functional data within the geometry of Wasserstein spaces. Specifically, we formulate an intrinsic…
Dynamic Principal Component Analysis in High Dimensions
Xiaoyu Hu, Fang Yao
Principal component analysis is a versatile tool to reduce dimensionality which has wide applications in statistics and machine learning. It is particularly useful for modeling dat…