2 papers
stat.ME2025
Nonparametric data segmentation in multivariate time series via joint characteristic functions
Euan T. McGonigle, Haeran Cho
Modern time series data often exhibit complex dependence and structural changes which are not easily characterised by shifts in the mean or model parameters. We propose a nonparame…
stat.ME2025
FNETS: Factor-adjusted network estimation and forecasting for high-dimensional time series
Matteo Barigozzi, Haeran Cho, Dom Owens
We propose FNETS, a methodology for network estimation and forecasting of high-dimensional time series exhibiting strong serial- and cross-sectional correlations. We operate under…