72 citations · 765 across the 35 of their papers we have counts for
5 papers · 1 filter
HDTSA: An R package for high-dimensional time series analysis
Jinyuan Chang, Jing He, Chen Lin +1
High-dimensional time series analysis has become increasingly important in fields such as finance, economics, and biology. The two primary tasks for high-dimensional time series an…
Bayesian penalized empirical likelihood and Markov Chain Monte Carlo sampling
Jinyuan Chang, Cheng Yong Tang, Yuanzheng Zhu
In this study, we introduce a novel methodological framework called Bayesian Penalized Empirical Likelihood (BPEL), designed to address the computational challenges inherent in emp…
Identification and estimation for matrix time series CP-factor models
Jinyuan Chang, Yue Du, Guanglin Huang +1
We propose a new method for identifying and estimating the CP-factor models for matrix time series. Unlike the generalized eigenanalysis-based method of Chang et al. (2023) for whi…
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…