The analysis of complex and massive data sets which display attributes of spatial and temporal characteristics is a growing field of research. Traditionally the two fields have been treated predominantly via a range of different approaches, depending on the discipline in which the applications are under study. For instance in spatial statistics and geo-statistics there is a long history of spatial modeling via regression models, random fields and parametric approaches. There is also a large literature on spatial extremes and the analysis of such features of spatial temporal data. In machine learning there are new approaches being considered based on semi-parametric and non-parametric modeling paradigms which incorporate Bayesian modeling. Then in the signal processing and engineering communities there have been a range of frequency and spatial methods developed based on filters, parametric modeling, regression - basis expansion models, wavelets regression models, and splines.
     There has been a range of recent developments in characterizing multivariate spatial and temporal processes which are either discrete (branching and counting processes) or continuous (heavy tailed processes such as Levy processes) and their sub-families the stable processes and Gaussian processes. In addition the study of such processes in practical applications has advanced significantly and the intention of the workshops is to present some recent developments in specification, estimation in high dimensional and complex structured models formed from such processes and application.
      In the workshop we aim to introduce these theory and methodology for a range of real applications in areas of machine learning, wireless communications, sensor networks, finance, insurance, earthquake dynamic modeling, environmental modeling, signal processing and speech and audio processing.

Conference Room 1 (2F), Institute of Statistical Mathematics, Tokyo, Japan

20 July 2016 (Wed) - 23 July 2016 (Sat)

Invited speakers
- Mr. Matthew Ames (UCL)
- Prof. Nourddine Azzaoui (Université Blaise Pascal)
- Prof. Guillaume Bagnarosa (ESC Rennes School of Business)
- Prof. Jennifer S. K. Chan (University of Sydney)
- Ms. Xina Cheng (Waseda U)
- Prof. Jen-Tzung Chien (National Chiao Tung U)
- Prof. Laurent Clavier (Telecom Lille 1)
- Prof. Arnaud Doucet (Oxford U)
- Dr. Malcom Egan (Université Blaise Pascal)
- Prof. Kenji Fukumizu (ISM)
- Dr. Carmine Galasso (UCL)
- Prof. Norikazu Ikoma (NIT )
- Dr. Andrea Macrina (UCL)
- Prof. Konstatin Markov (Aizu U)
- Prof. Kazuya Takeda (Nagoya U)
- Prof. Tomoko Matsui (ISM)
- Prof. Kazuhiro Minami (ISM)
- Dr. Daisuke Murakami (National Institute for Environmental Studies)
- Prof. Tor Andre Myrvoll (NTNU/SINTEF)
- Prof. Hiroshi Nakagawa (U of Tokyo)
- Dr. Ido Nevat (Institute for Infocom Research, A-Star)
- Dr. Gareth W. Peters (UCL)
- Prof. Francois Septier (Telecom Lille 1)
- Prof. Kana Shimizu (Waseda U)
- Prof. Taiji Suzuki (Tokyo Institute of Technology)
- Ms. Dorota Toczydłowska (UCL)
- Prof. Mario Wüthrich (ETH Zurich)
- Prof. Yoshiki Yamagata (National Institute for Environmental Studies)
- Dr. Toshinao Yoshiba (Bank of Japan)
- Ms. Anna Zaremba (UCL)
- Prof. Shiyong Zhou (Peking U)
- Prof. Jiancang Zhuang (ISM)

The working language of the conference is English.


- Research Organization of Information and Systems (ROIS)
- The Institute of Statistical Mathematics (ISM)