Third 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: 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 stm2015@ism.ac.jp

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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.

Speakers include: