Cherry Bud Workshop 2008

Discovery through Data Science

Dates: Tuesday 25 March 2008 to Friday 28 March 2008
Place: Keio University, Yagami Campus, Yokohama, Japan (25, 26, 28 March)
Keio University, Marunouchi City Campus, Tokyo, Japan (27 March)
Poster: PDF
Programme: HTML | PDF

This is the 5th and last in a series of international Cherry Bud Workshops held every spring in Yokohama since 2004. These workshops form part of Keio University's 21st Century COE (Centre of Excellence) programme "Integrative Mathematical Sciences: Progress in Mathematics Motivated by Natural and Social Phenomena" which has been funded by the Japanese government over a five year period.

The broad theme of this workshop is discovery through data science with emphasis on data-driven modelling. The fields of application are not restricted and are likely to include Bioinformatics, Environmetrics, Mathematical Finance, Quantitative Risk Management among others.

A primary aim of this workshop is to encourage Keio University graduate students to develop their current research projects by providing opportunities for links and interaction with other international researchers in their fields and more generally. The workshop is also intended to provide a stimulating environment for all participants to learn more about recent research and developments in data science.

Organising Committee:

Ritei Shibata (Convenor)
Keio University, Japan, and Member of the COE programme.
Ritei Shibata

Kunio Shimizu
Keio University, Japan, and Member of the COE programme.
Kunio Shimizu

Peter Thomson
Statistics Research Associates Ltd, New Zealand, and
Member of the COE Advisory Board.
Peter Thomson

Cherry Bud Workshop 2008
(Tentative titles)
Symmetric unimodal models for directional data motivated by inverse stereographic projection Toshihiro Abe Keio University, Japan
V-fold penalization: an alternative to V-fold cross-validation Sylvain Arlot Universite Paris Sud, France and UC Berkeley, USA
Education of Data Science in Keio SFC high school Kunihiro Baba Keio Shonan Fujisawa Junior & Senior High School, Japan
A new project to foster joint Japanese-Australian discovery through Data Science for environmental and ecological management Charis Burridge CSIRO, Australia
Road surface characteristics and traffic accident rates on New Zealand's state highway network Robert Davies Statistics Research Associates Ltd, New Zealand
On nonparametric variable selection Kjell Doksum UW-Madison, USA
Statistical methods for online monitoring in intensive care Ursula Gather Universität Dortmund, Germany
Detecting anomalies in sensor network data Richard Jarrett CSIRO, Australia
Scaling for skewness, with spin-offs and insights Chris Jones The Open University, UK
Statistical challenges to genome-wide association study Naoyuki Kamatani Tokyo Women's Medical University and RIKEN, Japan
Importance of Data Science in the field of pharmacogenomics Shigeo Kamitsuji StaGen Co, Ltd, Japan
A family of asymmetric distributions on the circle with links to, and applications arising from, Möbius transformation Shogo Kato Keio University, Japan
Statistics of extremes in climate: reconciling theory with observations Richard Katz National Center for Atmospheric Research, USA
DandD instance generation in the textile plot environment Natsuhiko Kumasaka Keio University, Japan
Statistics for climate prediction: uncertainty and biases Hans Künsch ETH Zurich, Switzerland
Comparison of multivariate data representations: three eyes are better than one (Joint session) Natsuhiko Kumasaka,
Antony Unwin
Keio University, Japan
Augusburg University, Germany
Relative error of the generalized Pareto approximation to Value-at-Risk Sho Nishiuchi Keio University, Japan
Two nested families of skew-symmetric circular distributions Arthur Pewsey Universidad de Extremadura, Cáceres, Spain
Measuring volatility of non-normal returns John Randal Victoria University of Wellington, New Zealand
A structual credit risk valuation model with a multiple company debts structure Raphaël Salmon Ecole Centrale Paris, France and Keio University, Japan
Analysing high-density SNP marker data for linkage with colo-rectal cancer Ian Saunders CSIRO, Australia
Ideas of DandD Ritei Shibata Keio University, Japan
Discovery of a structural model for neuronal activation Hideyasu Shimadzu Keio University, Japan
Panjer's and related families of distributions in risk theory Kunio Shimizu Keio University, Japan
Analysis of a dataset for statistical disclosure control: application of a multi-index random partition model Masaaki Sibuya Keio University, Japan
The generalized t-distribution on the circle Hai-Yen Siew The Graduate University for Advanced Studies, Japan
A linkage analysis using high-density SNP marker data Yuki Sugaya Keio University, Japan
Hidden Markov models for New Zealand hydro catchment inflows: a preliminary analysis Peter Thomson Statistics Research Associates Ltd, New Zealand
Comparison of multivariate data representations: three eyes are better than one (Joint session) Antony Unwin,
Natsuhiko Kumasaka
Augusburg University, Germany
Keio University, Japan
DandD environment for financial data Daisuke Yokouchi Hitotsubashi University, Japan
Geysers, wind, financial returns and homicides; applications of hidden Markov models Walter Zucchini Georg-August-Universität, Germany