6 papers
Projection-Based Outlier Detection in Interval-Valued Functional Data
Hao Xu, Wan Tian, Zhongfeng Qin
Outlier detection is a fundamental task for ensuring reliable statistical modeling and inference. Interval-valued functional data (IVFD), in which each observation is represented b…
Estimating Precision Matrices for High-Dimensional Interval-Valued Data
Zhongfeng Qin, Hao Xu, Wenhao Cui +1
In the field of statistical learning and data analysis, estimating precision matrices (i.e., the inverse of covariance matrices) is a critical task, particularly for understanding…
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…