Science of Modeling

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= Advance Program =


TimeSession

Sunday Dec. 14
12:00-13:30Reception
13:30-13:40Opening Address    Kitagawa, G.
13:40-16:30 Session 1+SB
Chairs: Tanabe, K. and Findley, D.
An Overview of the Information Criteria
Genshiro Kitagawa* (The Institute of Statistical Mathematics, The Graduate University for Advanced Studies), Sadanori Konishi (Kyushu University, Graduate School of Mathematics)
Implementation of Optimal Control for Thermal Power Plant Boilers based on Statistical Model
Hideo Nakamura (Former Research Engineer for Kyushu Electric Power Company)
Recent Development of Information Criteria
Sadanori Konishi* (Graduate School of Mathematics, Kyushu University), Genshiro Kitagawa (The Institute of Statistical Mathematics, The Graduate University for Advanced Studies)
Hierarchical Model, Singularity, and Model Selection
Shun-ichi Amari (RIKEN Brain Science Institute)
16:30-16:50Break
16:50-18:20 Session 2.1+Introduction
Chair: Higuchi, T.
A Bayesian Logit Age-Period-Cohort Model
Takashi Nakamura (The Institute of Statistical Mathematics, The Graduate University for Advanced Studies)
Modeling of "Myself" in Statistical Analysis
Makio Ishiguro (The Institute of Statistical Mathematics, The Graduate University for Advanced Studies)
19:00-21:00Welcome Party
(Grand Inter Continental Hotel, 30F Room Le Grant / Closed Party)

Monday Dec. 15
9:30-10:50 Session 2.2
Chair: Kawasaki, Y.
Exploitation of prior information and knowledge discovery:Decomposition of daily sales of a restaurant for micromarketing
Rui Yamaguchi (Faculty of Mathematics, Kyushu University), Eiko Tsuchiya (School of Science, Tokyo Institute of Technology), Tomoyuki Higuchi* (The Institute of Statistical Mathematics, The Graduate University for Advanced Studies)
Generalizations of the Box-Jenkins Airline Model with Frequency-Specific Seasonal Coefficients
John Aston (Census Bureau, USA), David Findley* (Census Bureau, USA), Kellie Wills (Census Bureau, USA), Donald Martin (Census Bureau, USA)
10:50-11:00Short Break
11:00-12:00 Keynote Talk
Chair: Kitagawa, G.
On the art of modeling; illustrated with the analysis of the golf swing motion
Hirotugu Akaike (Professor Emeritus, The Institute of Statistical Mathematics)
12:00-13:30Lunch Break
13:30-15:00Poster Session I
15:00-16:20 Session 2.3
Chair: Wago, H.
Bayesian Persectives on Modeling and Analysis of Non-Ignorable Missingness
Siddhartha Chib (John M.Olin School of Business Washington University in St.Louis, USA)
Bayesian Modelling of Time- Frequency Coefficients for Signal Processing
Patrick J. Wolfe* (Signal Processing Group Cambridge University Engineering Department, UK), Simon J. Godsill (Signal Processing Group Cambridge University Engineering Department, UK)
16:20-16:30Short Break
16:30-18:00 Session 3.1+Introduction
Chair: Yajima, Y.
Space-Time Model for Regional Seismicity and Detection of Crustal Stress Changes
Yosihiko Ogata (The Institute of Statistical Mathematics; Graduate University of Advanced Study)
Dynamic Multi-Resolution Spatial Models
Noel Cressie* (The Ohio State University, USA), Hsin-Cheng Huang (Statistical Sinica, Taiwan), Gardar Johannesson (Lawrence Livermore National Laboratory, USA)

Tuesday Dec. 16
10:00-12:00 Session 3.2+SB
Chairs: Ogata, Y. and Iba, Y.
Directional Rates of Change Under Spatial Process Models
Alan E. Gelfand (ISDS, Duke University, USA)
Information Square Root Filter and Smoother algorithm following the time dependent inversion technique and its application to time series of crustal deformation data
Shinzaburo Ozawa (Geographical Survey Institute of Japan)
A Sample of Monte Carlo Methods in Robotics and Vision
Frank Dellaert (College of Computing, Georgia Institute of Technology, USA)
Bayesian methods for the decoding of motor neural activity (Canceled)
Elie Bienenstock (Brown University, USA), Yun Gao (Brown University, USA), Michael Black (Brown University, USA), Wei Wu (Brown University, USA), John Donoghue (Brown University, USA)
12:00-13:30Lunch Break
13:30-16:30 Session 4.1+Introduction+SB
Chairs: Tong, H. and Kano, Y.
Stepwise prediction for economic time series by using vector autoregressive model
Seisho Sato (The Institute of Statistical Mathematics, The Graduate University for Advanced Studies)
Nonlinear System Modeling and Predictive Control Based on RBF-ARX model
Hui Peng* (Central South University/The Institute of Statistical Mathematics), Tohru Ozaki (The Institute of Statistical Mathematics, The Graduate University for Advanced Studies)
Neural Network Simulations by Cascade Correlation and Knowledge-Based Cascade Correlation Networks
Yoshio Takane *(McGill University, Canada), Yuriko Oshima-Takane (McGill University, Canada), Thomas R. Shultz (McGill University, Canada)
Some Recent Semi-Parametric Developments in Dimension Reduction for High Dimensional Time Series Data
Howell Tong (The University of Hong Kong, China and The London School of Economics, UK)
16:30-18:00Poster Session II
18:00-21:00Banquet
(Grand Inter Continental Hotel, 3F Pacific)

Wednesday Dec. 17
9:10-12:00 Session 5+SB
Chairs: Adachi, J. and Hasegawa, M.
Analyses of genome data for inferring evolutionary history of life
Masami Hasegawa (The Institute of Statistical Mathematics, The Graduate University for Advanced Studies)
Modeling of variable evolutionary rates to estimate divergence times and adaptive evolution
Hirohisa Kishino* (Graduate School of Agriculture and Life Sciences,University of Tokyo), Jeffrey L. Thorne (Bioinformatics Research Center, North Carolina State University, USA), Tae-Kun Seo (Bioinformatics Research Center, North Carolina State University, USA), Yasuhide Kajitani (Graduate School of Agriculture and Life Sciences, University of Tokyo)
Information from data on pedigree structures
Elizabeth A Thompson (University of Washington, USA)
What lies beyond Genome sequences? : From genes to systems
Yoshiki Hotta (National Institute of Genetics)
12:00-13:30Lunch Break
13:30-16:20 Session 4.2+SB
Chairs: Ishiguro, M. and Fukumizu, K.
Causal Inference Using Nonnormality
Yutaka Kano *(Osaka University), Shohei Shimizu (Osaka University)
CATDAP : Categorical Data Analysis Program for Data Mining
Y. Sakamoto (The Institute of Statistical Mathematics, The Graduate University for Advanced Studies)
Combining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks
Seiya Imoto *(Institute of Medical Science,University of Tokyo), Tomoyuki Higuchi (The Institute of Statistical Mathematics, The Graduate University for Advanced Studies), Takao Goto (Institute of Medical Science,University of Tokyo), Kousuke Tashiro (Graduate School of Genetic Resources Technology, Kyushu University), Satoru Kuhara (Graduate School of Genetic Resources Technology, Kyushu University), Satoru Miyano (Institute of Medical Science,University of Tokyo)
Universal Induction Machine dPLRM for Probabilistic Multiclass Discrimination
Kunio Tanabe (The Institute of Statistical Mathematics, The Graduate University for Advanced Studies)
16:20-16:30Closing    Tanabe, K.

  (Joint Program with GIW2003)
  SB: Short Break (10 min)
Introduction (10 min)

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