arXiv stat.ML
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Scalable estimation of VARMA models
arXiv:2608.06340v1 Announce Type: new Abstract: Vector autoregressive moving-average (VARMA) models have long been considered impractical beyond moderate dimensions: the likelihood is non-convex, the parametrization is identified only up to equivalence, and every evaluation costs a pass over the entire series. Yet thei