2 citations · 3 across the 4 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
stat.ME2026
Causal Lag Structure Discovery in Confounded Time Series via Orthogonalized Adaptive Estimation
Hong Kiat Tan, Isaac-Neil Zanoria, James Chen +2
Finding which variables cause which others in multivariate time series, and at what lags, is central to science and policy, yet existing methods force a choice between flexible con…
math.ST2026
Spectral clustering of network time series via the sample covariance matrix
Brendan Martin, Joshua Agterberg, Mihai Cucuringu +2
Spectral clustering for community detection is analysed in multivariate time series models whose dependence structure is determined by an unobserved stochastic blockmodel. We estab…