5 citations · 5 across the 6 of their papers we have counts for
7 papers
Time Series Gaussian Chain Graph Models
Qin Fang, Xinghao Qiao, Zihan Wang
Time series graphical models have recently received considerable attention for characterizing (conditional) dependence structures in multivariate time series. In many applications,…
On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
Qin Fang, Shaojun Guo, Yang Hong +1
Empirical likelihood serves as a powerful tool for constructing confidence intervals in nonparametric regression and regression discontinuity designs (RDD). The original empirical…
Large-scale Multiple Testing of Cross-covariance Functions with Applications to Functional Network Models
Qin Fang, Qing Jiang, Xinghao Qiao
The estimation of functional networks through functional covariance and graphical models have recently attracted increasing attention in settings with high dimensional functional d…
On the modelling and prediction of high-dimensional functional time series
Jinyuan Chang, Qin Fang, Xinghao Qiao +1
We propose a two-step procedure to model and predict high-dimensional functional time series, where the number of function-valued time series is large in relation to the length…
Autoregressive networks with dependent edges
Jinyuan Chang, Qin Fang, Eric D. Kolaczyk +2
We propose an autoregressive framework for modelling dynamic networks with dependent edges. It encompasses models that accommodate, for example, transitivity, degree heterogenenity…
Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions
Qin Fang, Shaojun Guo, Xinghao Qiao
Covariance function estimation is a fundamental task in multivariate functional data analysis and arises in many applications. In this paper, we consider estimating sparse covarian…
Finite Sample Theory for High-Dimensional Functional/Scalar Time Series with Applications
Qin Fang, Shaojun Guo, Xinghao Qiao
Statistical analysis of high-dimensional functional times series arises in various applications. Under this scenario, in addition to the intrinsic infinite-dimensionality of functi…