27 citations · 27 across the 13 of their papers we have counts for
5 papers · 1 filter
Quantifying Long-Range Dependence in Object-Valued Time Series
Won-Ki Seo, Jiazhen Xu, Han Lin Shang
Object-valued time series, including distributions, covariance matrices, networks, and compositions, lack the linear structure required by conventional autocovariance-based definit…
Spherically Embedded Time Series with Unknown Trend and Periodic Components
Jiazhen Xu, Han Lin Shang
Spherically embedded time series are time series with values naturally residing on or can be equivalently mapped to the sphere. Despite their ubiquity in diverse scientific fields,…
Spherical Spatial Autoregressive Model for Spherically Embedded Spatial Data
Jiazhen Xu, Han Lin Shang
Spherically embedded spatial data are spatially indexed observations whose values naturally reside on or can be equivalently mapped to the unit sphere. Such data are increasingly u…
On the Distributed Estimation for Scalar-on-Function Regression Models
Peilun He, Han Lin Shang, Nan Zou
This paper proposes distributed estimation procedures for three scalar-on-function regression models: the functional linear model (FLM), the functional non-parametric model (FNPM),…
White noise testing for functional time series via functional quantile autocorrelation
Ángel López-Oriona, Ying Sun, Hanlin Shang
We introduce a novel class of nonlinear tests for serial dependence in functional time series, grounded in the functional quantile autocorrelation framework. Unlike traditional app…