The paper presents a ridge-regularized EM algorithm and a component-based regularized EM algorithm for GLMMs with an AR(1) random effect, with simulation results only for the ridge version.
(a),(b): 40 trajectories of the L2-convergence criterion for parameters β and σ2 1 (A similar behaviour is observed for parameters σ2 2 and ρ)
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Regularising Generalised Linear Mixed Models with an autoregressive random effect
The paper presents a ridge-regularized EM algorithm and a component-based regularized EM algorithm for GLMMs with an AR(1) random effect, with simulation results only for the ridge version.