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Constrained subspace method for the identification of structured state-space models (COSMOS)

Affinely parametrized state-space models: ways to maximize the likelihood function

Identification of stochastic wiener systems using indirect inference

Identification of Wiener systems with process noise is a nonlinear errors-in-variables problem

Model Error Modeling and Stochastic Embedding

Stochastic embedding revisited: a modern interpretation

Identification of Hammerstein-Wiener models

A general convergence result for particle filtering

Issues in sampling and estimating continuous-time models with stochastic disturbances

Wiener system identification using the maximum likelihood method

Maximum likelihood identification of Wiener models

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