Addresses all aspects of data-based system modelling and statistical signal processing, from theoretical and methodological developments to practical applications. Includes model selection, robust estimation, regularization, finite sample results, tracking and adaptation, model validation, experiment design. Considers several model classes including parametric, non-parametric, state-space, frequency domain, linear and nonlinear models.