Juho Kokkala

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—We consider parameter estimation in non-linear state space models by using expectation–maximization based numerical approximations to likelihood maximization. We present a unified view of approximative EM algorithms that use either sigma-point or particle smoothers to evaluate the integrals involved in the expectation step of the EM method, and compare(More)
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