77 citations · 291 across the 26 of their papers we have counts for
26 papers
Quantifying Periodicity in Non-Euclidean Object-Valued Time Series
Jiazhen Xu, Andrew T. A. Wood, Tao Zou
Non-Euclidean object-valued time series are playing a growing role in modern data analysis, and periodicity is a fundamental characteristic of many time series. However, quantifyin…
Regularization and Selection in A Directed Network Model with Nodal Homophily and Nodal Effects
Zhaoyu Xing, Y. X. Rachel Wang, Andrew T. A. Wood +1
This article introduces a regularization and selection methods for directed networks with nodal homophily and nodal effects. The proposed approach not only preserves the statistica…
Subbagging Variable Selection for Big Data
Xian Li, Xuan Liang, Tao Zou
This article introduces a subbagging (subsample aggregating) approach for variable selection in regression within the context of big data. The proposed subbagging approach not only…
On Robust Aggregation for Distributed Data
Xian Li, Xuan Liang, A. H. Welsh +1
When data are stored across multiple locations, directly pooling all the data together for statistical analysis may be impossible due to communication costs and privacy concerns. D…
Fixed and Random Covariance Regression Analyses
Tao Zou, Wei Lan, Runze Li +1
Covariance regression analysis is an approach to linking the covariance of responses to a set of explanatory variables , where can be a vector, matrix, or tensor. Most of th…
Change Point Detection for Random Objects with Periodic Behavior
Jiazhen Xu, Andrew T. A. Wood, Tao Zou
Time-varying random objects have been increasingly encountered in modern data analysis. Moreover, in a substantial number of these applications, periodic behaviour of the random ob…