Inference for sparsely sampled Gauss-Markov processes under outcome-dependent dropout

Alexander Aue, Siegfried Hörmann, Maximilian Ofner

We consider sparsely observed functional data generated by a latent Gauss-Markov process modeled through a linear stochastic differential equation (SDE). Motivated by an applicatio…