Inference for Dependent Data

Many data are recorded from large and complex dependent processes, with dependence due for example to time, space and/or structured measurement (as in experimental design). We contribute to the development of data analytics methods for time series, random fields (spatial statistics), longitudinal and repeated measurements data (latent variable models), with applications in signal processing for navigation, population health, psychological and educational sciences.