Statistical Science


Dr Gareth Peters co-organises fourth ISM-UCL International Workshop on Spatial Temporal Modelling

1 June 2016


Fourth ISM-UCL International Research Program on Spatial Temporal Modelling from Statistical, Machine Learning and Engineering Perspectives

Organizers: Gareth Peters (UCL) and Tomoko Matsui (ISM)

Date: 20-23 July 2016

Location: Institute of Statistical Mathematics (ISM), Tokyo, Japan

Registration Fee: No registration cost

Registration Process: Email your intention to attend to stm2016@ism.ac.jp

This year the workshop series, STM2016 (Spatial Temporal Modeling from Statistical, Machine Learning and Engineering Perspectives 2016) is partitioned into two main themes that have contributions ranging through theory, methodology and application. The topics include:

  • Heavy tailed processes and their characterizations: Levy Processes and Stable Processes – with applications in risk, finance and catastrophe insurance.
  • Counting processes and branching processes – with applications in earthquake dynamic modelling, signal processing and speech and audio processing.
  • State space modelling and high-dimensional complex systems – with methodology and applications in signal processing, sensor networks and environmental modelling and finance and insurance.
  • Statistical machine learning methods – with applications in kernel methods and Gaussian process state space modelling.

Speakers include:

Prof. N. AzzaouiProf. Y. YamagataDr. G.W. Peters
Mr. M. AmesProf. K. MarkovProf. F. Septier
Dr. G. BagnarosaProf. T. MatsuiProf. M. Wuthrich
Prof. L. ClavierDr. D. MurukamiProf. T. Suzuki
Prof. J.T. ChienProf. T. MyrvollMs. Jin Xin
Dr. M. EganDr. I. NevatProf. Y. Yamagata
Prof. N. IkomaProf. Y. OgataProf. S. Zhou
  Prof. J. Zhuang