Third ISM-UCL International Research Program on Spatial Temporal Modelling from Statistical, Machine Learning and Engineering Perspectives
26 May 2015
Organizers: Gareth Peters (UCL) and Tomoko Matsui (ISM)
Date: 13-17 July 2015
Location: Institute of Statistical Mathematics (ISM), Tokyo, Japan
Registration Fee: No registration cost
Registration Process: Email your intention to attend to email@example.com
This year the workshop series, STM2015 (Spatial Temporal Modeling from Statistical, Machine Learning and Engineering Perspectives 2015, 13 July – 15 July) and CSM2015 (Workshop on Complex Systems Modeling and Estimation Challenges in Big Data 2015, 16 July – 17July) are partitioned into two main themes that have contributions ranging through theory, methodology and application. The topics include:
1. Heavy tailed processes and their characterizations: Levy Processes and Stable Processes – with applications in wireless communications, finance, insurance and speech.
2. Counting processes and branching processes – with applications in earthquake dynamic modelling, signal processing and speech and audio processing.
3. State space modelling and high-dimensional complex systems – with methodology and applications in signal processing, sensor networks and environmental modelling and finance and insurance.
4. Statistical machine learning methods – with applications in kernel methods and Gaussian process state space modelling.
|Prof. N. Azzaoui||Prof. M. Maejima||Dr. G.W. Peters|
|Mr. M. Ames||Prof. K. Markov||Prof. F. Septier|
|Dr. G. Bagnarosa||Prof. T. Matsui||Prof. P. Shevchenko|
|Prof. L. Clavier||Dr. D. Murukami||Prof. T. Suzuki|
|Prof. J.T. Chien||Prof. T. Myrvoll||Ms. Jin Xin|
|Dr. M. Egan||Dr. I. Nevat||Prof. Y. Yamagata|
|Prof. N. Ikoma||Prof. Y. Ogata||Prof. S. Zhou|
|Prof. S. Kou||Prof. F. Phoa||Prof. J. Zhuang|