International Conference

ICMMA 2018

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”
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 February 11 (Monday), Invited Session (room 603)
February 12 (Tuesday),
       Invited Session (room 603)
       Special Short Session (room 603),
       Banquet (open space of the 6th floor)
February 13 (Wednesday), Invited Session (room 603)
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:

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.


To apply the Special Short Session, please send an abstract of your talk to
  icmma2018[at] (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

Registration Deadline
Please send the file to
  icmma2018[at] (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


Genshiro Kitagawa


Kokichi Sugihara

  Vice Chair:

Yoko Tanokura


Tomoyuki Miyaji


Yoshiro Yamamura


Kazuyuki Nakamura


Hiromichi Nagao


Naoto Kunitomo


Seisho Sato


Koki Kyo

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] (replace [at] with @)