8 September 2017
Department of Statistical Sciences
Europe/Rome timezone

State-Space Modeling and Identification of Large-Dimensional Multivariate Time-Series

8 Sept 2017, 15:30
30m
SC140 (Department of Statistical Sciences)

SC140

Department of Statistical Sciences

Via C. Battisti, 241 35121 Padova, Italy

Speaker

Giorgio Picci (University of Padova)

Description

I shall first discuss traditional ARMA models and the difficulties one has to face for the estimation of such models when dealing with high-dimensional multivariate time series. I shall then illustrate State Space and Dynamic Factor Analysis models which have been recently introduced in the literature. Estimation techniques which are reliable and numerically robust exist which have been used successfully in many applications.

Primary author

Giorgio Picci (University of Padova)

Presentation materials

There are no materials yet.