Randomized Kaczmarz EM for Large-Scale State-Space Models
The Expectation–Maximization (EM) algorithm is a standard tool for estimating linear state-space models, but its reliance on dense covariance matrices makes it difficult to use in large dimensions. We show that, for systems with sparse or banded dynamics and simple noise structures, EM can be run without ever forming t...