International Conference

ICMMA 2018

 

What's New
Dec.7The poster was put on the web.
Nov. 27The program was released.
Oct. 12The list of invited speakers was updated.
Sep. 23The list of invited speakers was updated.
Sep. 22Registration for participation and Special Short Session starts.
Sep. 22The web page for ICMMA 2018, was opened.
ICMMA 2018
"Data Science, Time Series
Modeling and Applications"
Aims and Scope This conference aims at providing an excellent venue for academics, researchers, professionals, and practitioners to share and discuss research findings and practical issues in mathematical and statistical modeling. In particular, the topics related to data science or time series modeling methods for complex real-world problems are welcome but not limited. Contributed papers by young researchers are also welcomed.
Organizers Meiji Institute for Advanced Study of Mathematical Sciences (MIMS),
Research Branding Project “Meiji University Doing Mathematical Sciences”
In Cooperation with Research Meeting on Particle Filters,
Grant-in-Aid for Scientific Research (B) No. 18H03210
Date February 11-13, 2019
Venue Room 603, 6F High-Rise Wing, Nakano Campus, Meiji University
4-21-1 Nakano, Nakano-ku, Tokyo 164-8525
 

Transportation to Meiji University

Campus Map

Schedule Feb. 11 (Mon.) Invited Session & Special Short Session
Feb. 12 (Tue.) Invited Session & Special Short Session
        Banquet (Open space on 6F)
Feb. 13 (Wed.) Invited Session
 

Conference Timetable

Internet Access The eduroam wireless network is available on campus. If your institution participates in eduroam, we recommend that you set up your eduroam account before traveling. For eduroam-related problems, please contact your home institution's technical support.

 

※Registration is required.

Please click the "Registration" button to open the registration form.
  
Registration Deadline
Please register by January 15 (Tue.), 2019.

  

Registration fee: free

Please register in advance for the sake of convenience of our preparation.
Banquet will be held on February 12 (Tue.) :
     3,000 Japanese-yen for general attendants
     Free for students
Please pay the banquet fee by Japanese-yen at the banquet site.
 
*Special Short Session:
CALL FOR PAPERS

The conference encourages all theoretical, methodological, and empirical papers on statistical and mathematical modeling, in particular, relevant following topics:

  • Time Series Methods, State-space Modeling, Recursive Filtering Methods, Data Assimilation, Second-order Adjoint method, Gaussian-sum Filter
  • Machine Learning, Materials Informatics, Topological Data Analysis, Persistent Homology, Dynamical System
  • Earth Science, Environmental Science
  • Econometrics, Finance, Business Science, Financial Econometrics, Real Estate Market Analysis, Financial Market Analysis, Risk Analysis, Seasonal Adjustment Methods

In addition to the above area, other researches on modeling real-world problems are also welcome.
 

GUIDELINE FOR SPEAKERS

To apply the Special Short Session, please send an abstract of your talk to
  icmma2018[at]meiji.ac.jp (replace [at] with @)
as an attachment in PDF document (1 page A4 size) and provide the information below in the body of the email:

  • Name
  • Affiliation
  • Position
  • Title of your talk

 
Application Deadline
Please send the file to
  icmma2018[at]meiji.ac.jp (replace [at] with @)
by January 15 (Tue.), 2019.

Invited Speakers

  Arnaud Doucet (University of Oxford, UK)

  Peng Hui (Central South University, China)

  Aapo Hyvarinen (University College London, UK)

  Norikazu Ikoma (Nippon Institute of Technology, Japan)

  Genshiro Kitagawa (The University of Tokyo/Meiji University, Japan)

  Naoto Kunitomo (Meiji University, Japan)

  Koki Kyo (Obihiro University of Agriculture and Veterinary Medicine, Japan)

  Tomoyuki Miyaji (Meiji University, Japan)

  Hiromichi Nagao (The University of Tokyo, Japan)

  Kazuyuki Nakamura (Meiji University, Japan)

  Duc Khuong Nguyen (IPAG Business School, France)

  Ippei Obayashi (RIKEN/Tohoku University, Japan)

  Tatsuyoshi Okimoto (Australian National University, Australia)

  Shunsuke Ono (Tokyo Institute of Technology, Japan)

  Seisho Sato (The University of Tokyo/Meiji University, Japan)

  Koji Tamaribuchi (Meteorological Research Institute, Japan)

  Yoko Tanokura (Meiji University, Japan)

  Yoshiro Yamamura (Meiji University, Japan)

  Ryo Yoshida (The Institute of Statistical Mathematics, Japan)

  Jiancang Zhuang (The Institute of Statistical Mathematics, Japan)

Organizing Committee of ICMMA 2018

  Chair:

Genshiro Kitagawa

  Co-Chair:

Kokichi Sugihara

  Vice Chair:

Yoko Tanokura

  Members:

Tomoyuki Miyaji

   

Yoshiro Yamamura

   

Kazuyuki Nakamura

   

Hiromichi Nagao

   

Naoto Kunitomo

   

Seisho Sato

   

Koki Kyo

Program

(as of November 20, 2018)
Date : February 11-13, 2019
Venue: Room 603, 6F High-Rise Wing, Nakano Campus, Meiji University
 


Feb. 11 (Mon.)
10:00-10:10

Opening

Kokichi Sugihara (Director of MIMS)

InvitedSession 1: Particle Filter and Data Assimilation

10:10-10:40

Arnaud Doucet (University of Oxford, UK)

"Iterative Particle Sampling for Bayesian Computation"

10:40-11:10

Norikazu Ikoma (Nippon Institute of Technology, Japan)

To be announced

11:10-11:40

Kazuyuki Nakamura (Meiji University, Japan)

"Application of Data Assimilation in Meteorology or Biology"

11:40-13:10

    Lunch

Invited Session 2: Earth Science

13:10-13:40

Peng Hui (Central South University, China)

To be announced

13:40-14:10

Hiromichi Nagao (The University of Tokyo, Japan)

To be announced

14:10-14:40

Koji Tamaribuchi (Meteorological Research Institute, Japan)

"Real-time Monitoring System of Earthquakes by Bayesian Estimation"

14:40-15:00

    Coffee break

Invited Session 3: Time Series Modeling

15:00-15:30

Genshiro Kitagawa (The University of Tokyo/Meiji University, Japan)

"Gaussian-sum Filter and Smoother for Nonlinear or Non-Gaussian Smoothing"

15:30-16:00

Koki Kyo (Obihiro University of Agriculture and Veterinary Medicine, Japan)

"Analysis of the Structure of Economic Growth and Business Cycles in the Prefectures of Japan"

16:00-16:30

Seisho Sato (The University of Tokyo/Meiji University, Japan)

To be announced

16:30-16:45

    Coffee break

Special Short Session I

16:45-17:30

    15-minute talks by up-and-coming researchers

 
Feb. 12 (Tue.) 

Invited Session 4: Econometrics and Data Analysis

10:00-10:30

Duc Khuong Nguyen (IPAG Business School, France)

"On the Network of Global Currencies: Does Lead-lag Connectedness Matter?"

10:30-11:00

Naoto Kunitomo (Meiji University, Japan)

"Non-Stationary Errors-in-Variables Models and Their Econometric Applications"

11:00-11:30

Tatsuyoshi Okimoto (Australian National University, Australia)

"How Does Unconventional Monetary Policy Affect the Global Financial Markets?: Evaluating Policy Effects by Global VAR Models"

11:30-12:00

    Group photo

12:00-13:30

    Lunch

Invited Session 5: Data Science I

13:30-14:00

Ryo Yoshida (The Institute of Statistical Mathematics, Japan)

"Machine Learning for Accelerated Materials Discovery"

14:00-14:30

Ippei Obayashi (RIKEN/Tohoku University, Japan)

"Topological Data Analysis for Materials Science"

14:30-15:00

Tomoyuki Miyaji (Meiji University, Japan)

"Application of A Topological Computation Method to Biomedical Signals"

15:00-15:20

    Coffee break

Special Short Session II

15:20-16:20

    15-minute talks by up-and-coming researchers

16:20-16:35

    Coffee break

Special Short Session III

16:35-17:35

    15-minute talks by up-and-coming researchers

18:00-20:00

    Banquet
Special Presentation “Mathematical Study of Impossible Objects in MIMS” by Kokichi Sugihara (Meiji University, Japan)

 
Feb. 13 (Wed.)  

Invited Session 6: Data Science II

10:00-10:30

Aapo Hyvarinen (University College London, UK)

"Nonlinear Independent Component Analysis: A Principled Framework for Unsupervised Deep Learning"

10:30-11:00

Shunsuke Ono (Tokyo Institute of Technology, Japan)

To be announced

11:00-11:30

Jiancang Zhuang (The Institute of Statistical Mathematics, Japan)

"A Semi-parametric Spatiotemporal Hawkes-type Point Process Model with Periodic Background for Crime Data"

11:30-13:00

    Lunch

Invited Session 7: Financial Time Series Modeling

13:00-13:30

Yoshiro Yamamura (Meiji University, Japan)

To be announced

13:30-14:00

Yoko Tanokura (Meiji University, Japan)

"On Trend Change Factors of Financial Markets"

14:00-14:10

Closing

Genshiro Kitagawa (Chair of Organizing Committee)

Transportation to
Meiji University, Nakano campus

4-21-1 Nakano, Nakano-ku, Tokyo, Japan 164-8525
From Nakano Station to Meiji University

nakano map

 
 The nearest JR train station to Meiji University, Nakano campus is Nakano Station. It takes approximately 8 minutes on foot from Nakano Station to campus. Please exit from the North Exit of Nakano Station.

From Haneda Airport to Nakano Station

'Haneda Airport' English web site

  • Haneda Airport (羽田空港) -- [Monorail] --> Hamamatsucho (浜松町)
  • Hamamatsucho (浜松町) -- [JR line] --> Kanda (神田)
  • Kanda (神田)-- [JR line] --> Nakano (中野)

 
 

Line : Tokyo -Monorail : approx. 20min. 470 yen
Haneda Airport International Terminal (Monorail) --> Hamamatsucho
Line : JR Keihintohoku : approx. 10 min. 290 yen
Hamamatsucho --> Kanda
Line : JR Chuo Line : approx. 16 min. for Rapid Train
Kanda --> Nakano
From Narita Airport to Nakano Station

'Narita Airport' English web site

  • Narita Airport (成田空港) -- [JR Narita-Express] --> Shinjuku (新宿)
  • Shinjuku (新宿) -- [JR line] --> Nakano (中野)

 

 
Line : JR Narita-Express : approx. 90 min. 3310 yen
Narita Airport --> Shinjuku
Line: JR Chuo Line: approx. 5 min. for Rapid, 10 min. for Local
Shinjuku --> Nakano
Route map

Line map

 
Please contact us for further information:
 icmma2018[at]meiji.ac.jp (replace [at] with @)