Jost Reinecke

Maximum approximate likelihood estimation of general continuous-time state-space models

2022 · Statistical Modelling

Continuous-time state-space models (SSMs) are flexible tools for analysing irregularly sampled sequential observations that are driven by an underlying state process. Corresponding applications typically involve restrictive assumptions concerning linearity and Gaussianity to facilitate inference on …