4 papers
Interval-Valued Time Series Classification Using -Distance
Wan Tian, Zhongfeng Qin
In recent years, modeling and analysis of interval-valued time series have garnered increasing attention in econometrics, finance, and statistics. However, these studies have predo…
Block Toeplitz Sparse Precision Matrix Estimation for Large-Scale Interval-Valued Time Series Forecasting
Wan Tian, Zhongfeng Qin
Modeling and forecasting interval-valued time series (ITS) have attracted considerable attention due to their growing presence in various contexts. To the best of our knowledge, th…
Adaptive Classification of Interval-Valued Time Series
Wan Tian, Zhongfeng Qin
In recent years, the modeling and analysis of interval-valued time series have garnered significant attention in the fields of econometrics and statistics. However, the existing li…
A model-free feature extraction procedure for interval-valued time series prediction
Wan Tian, Zhongfeng Qin, Tao Hu
In this paper, we present a novel feature extraction procedure to predict interval-valued time series by combing transfer learning and imaging approaches. Initially, we represent i…