Factor Modeling for Clustering High-Dimensional Time Series
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Publication:6567919
DOI10.1080/01621459.2023.2183132zbMATH Open1547.62101MaRDI QIDQ6567919
Wang Zhou, Author name not available (Why is that?), Guangming Pan, Qiwei Yao
Publication date: 5 July 2024
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Cites Work
- High dimensional stochastic regression with latent factors, endogeneity and nonlinearity
- Factor modeling for high-dimensional time series: inference for the number of factors
- Identifying the number of factors from singular values of a large sample auto-covariance matrix
- Clustering time series by linear dependency
- Clustering of time series data -- a survey
- Consistent algorithms for clustering time series
- Time-series data mining
- Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets
- Funds, Factors, and Diversification in Arbitrage Pricing Models
- Discrimination and Clustering for Multivariate Time Series
- Clustering High-Dimensional Time Series Based on Parallelism
- Time Series Clustering and Classification
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