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.

Poster session slots:
Please note the PhD and Postdocs are encourage to attend and present their research in a poster session that will take place on 15th of July between 5:00pm-6:30pm. If you are interested to present a poster – please register your interest by emailing with your name, affiliation, Poster Title and Abstract. You will be notified of acceptance in the poster session by 19th of June.

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

13 July 2015 (Mon) - 15 July 2015 (Wed): STM2014
16 July 2015 (Tur ) - 17 July 2015 (Fri): CSM2014

Invited speakers
- Mr. Matthew Ames (UCL)
- Prof. Nourddine Azzaoui (Université Blaise Pascal)
- Prof. Guillaume Bagnarosa (ESC Rennes School of Business)
- Prof. Sung Nok Chiu (Hong Kong Baptist University)
- Prof. Jen-Tzung Chien (National Chiao Tung U)
- Prof. Laurent Clavier (Telecom Lille 1)
- Dr. Malcom Egan (Agent Technology Center)
- Prof. Kenji Fukumizu (ISM)
- Mr. Lucas Tian Huijie (UCL)
- Prof. Norikazu Ikoma (Kyushu Institute of Technology)
- Prof. Yoshinori Kawasaki (ISM)
- Prof. Samuel Kou (Harvard U
- Prof. Makoto Maejima (Keio U)
- Prof. Konstatin Markov (Aizu U)
- Prof. Tomoko Matsui (ISM)
- Dr. Daisuke Murakami (National Institute for Environmental Studies)
- Prof. Tor Andre Myrvoll (NTNU/SINTEF)
- Dr. Ido Nevat (Institute for Infocom Research, A-Star)
- Prof. Yosihiko Ogata (ERI, U. of Tokyo and ISM, ROIS)
- Dr. Gareth W. Peters (UCL)
- Prof. Frederick Kin Hing Phoa (Institute of Statistical Science)
- Prof. Francois Septier (Telecom Lille 1)
- Dr. Pavel V. Shevchenko (CSIRO)
- Prof. Taiji Suzuki (Tokyo Institute of Technology)
- Prof. Zengping Wen (Institute of Geophysics, China Earthquake Administration)
- Ms Xin Jin (Peking U)
- Prof. Yoshiki Yamagata (National Institute for Environmental Studies)
- Prof. Shiyong Zhou (Peking U)
- Prof. Jiancang Zhuang (ISM)

The working language of the conference is English.


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

- British Embassy Tokyo
- Research Organization of Information and Systems (ROIS)
- The Institute of Statistical Mathematics (ISM)
- MEXT undertake project "Cooperation with Math Program"