Statistics & its Interactions with Other Disciplines – 2013

Contemporary statistics has blossomed into a rigorous scientific discipline with applications in numerous other areas, sometimes leading to the creation of entirely new domains. Traditionally based on mathematics, logic, linear algebra and probability theory, modern statistics has adopted many other tools, including computer methods, to make impressive forays into fields as diverse as image processing, wireless communications and genetics. These are very applied disciplines, in turn, have often developed their own statistical techniques to serve their own needs, and these quite advanced techniques are frequently not understood by the theoretician. On the other hand, teaching statistical theory and practice lies at the basis of to-day’s education. What and how to teach statistics, within different disciplines, to obtain an optimal return? These questions are still being debated by educators at various levels.

 

The International Conference Statistics and its Interactions with Other Disciplines (SIOD 2013), to be organized in Ho Chi Minh City on June 5-7 2013, will provide a forum for all Researchers, as well as Educators, working in the Statistical science field itself, or in any discipline using statistical methods, to present their work, and get to know other researchers as well. By enjoying direct contacts with other disciplines, they will broaden their views of Statistics, as a science and an art, in the spirit of the celebration around the world, of 2013 as the International year of Statistics.

 

Organizing Committee
Honorary Committee

  1. Raymond Théberge (Université de Moncton, Canada)
  2. Le Vinh Danh (Ton Duc Thang University, Vietnam)
  3. Tran Linh Thuoc (University of Science, Ho Chi Minh City )
  4. Nguyen Tien Dung (University of Economics and Law, Ho Chi Minh City , Vietnam)
  5. Do Van Xe (Can Tho University, Vietnam)

International Scientific Program Committee Chairs

  1. Thu Pham – Gia (University of Moncton, Canada): Theoretical Statistics and Applied Probability
  2. Dominique Haughton (Bentley University, USA): Applied, Industrial and Business Statistics
  3. John Borkowski (Montana State University, USA): Teaching Statistics, Methods and Approaches

International Scientific Program Committee Members

  1. Ana Maria Aguilera (Chemometrics/Biometrics, U. of Grenada)
  2. Fahim Ashkar (Hydrological Stat, Moncton University)
  3. Erniel Barrios (Simulation, U. of the Philippines)
  4. Jimmy Bourque (Education Stat, Moncton University)
  5. Alexander Bulinski (Random Fields, Moscow State University)
  6. Steven Gilmour (Experimental Design, Southampton University)
  7. Eric Hervet (Image Processing, Moncton University)
  8. Tran Tat Lanh (Financial Stat/Indiana University)
  9. Béatrice Laurent (Non-Parametric Stat, Toulouse University)
  10. Nguyen Minh Man (Eng Statistics, HCM Polytechnic)
  11. Gaetan Moreau (Biometry, Moncton University)
  12. Nguyen Ky Nam (Design of Experiments, Hanoi University)
  13. Timothy O’Brien (Teaching Statistics, Loyola University)
  14. Ho Dang Phuc (Applied Statistics/Institute Math, Hanoi)
  15. Tran Hung Thao (Finance Statistics, Math Inst, Hanoi)
  16. Nguyen Van Tuan (Medical Statistics, N South Wales, Australia)
  17. Benoit Truong Van (Stochastic Processes, Toulouse University)
  18. Nguyen Bac Van (Theoretical Statistics, Ho Chi Minh City, University of Science)
  19. Peng Zeng (Design of Exper., Auburn University)
  20. Yichuan Zhao (Survival Analysis, Georgia State University)

Review and Evaluation committee

  1. Salah El Adlouni (Environment Stat, Moncton University)
  2. Ginette Bégin (Business Stat, Moncton University)
  3. Viktor Freiman (Education, Moncton University)
  4. Vu Nhu Thu Huong (Didactic of Statistics-Probability, University of Pedagogy, Ho Chi Minh City)
  5. Hoang Pham (Industrial Stat, Rutgers University)
  6. J. de Tibeiro (Data Analysis, Moncton University)

Local Organizing Committee in Ho Chi Minh City

  1. Chu Duc Khanh (Ton Duc Thang University)
  2. Dang Duc Trong (University of Science, Ho Chi Minh City)
  3. Tran Ngoc Lien (Can Tho University)
  4. Le Thi Thanh Loan (Institute of Statistics, Ho Chi Minh City)
  5. Mai Thanh Loan (University of Economics of Ho Chi Minh City)
  6. Nguyen Van Nhan (University of Economics of Ho Chi Minh City)
  7. Nguyen Duy Nhat (University of Economics and Law, Ho Chi Minh City)
  8. Vo Van Tai (Can Tho University)
  9. Dinh Ngoc Thanh (University of Science, Ho Chi Minh City)
  10. Le Anh Vu (University of Economics and Law, Ho Chi Minh City)
  11. Duong Thanh Phong Secretary of the conference (Ton Duc Thang University)

Presentations and Authors

A) Confirmed Speakers (in random order) and titles of their talks

 

Christian Robert (Dauphine)

Bayesian

ABC: Approximate Bayesian computation or inference?

Thu Pham-Gia (Moncton)

Multivariate

Multivariate Analysis and (some of)its interactions with other disciplines

Benoit Truong (Toulouse)

Applied Statistics

New models for stock market prices based either on order books or on chartist concepts and an analysis

Yadolah Dodge (Neuchatel)

L1 Approach

Adaptive combination of LSE and LAD in the asymmetric models

Dominique Haughton(Bentley)

Business Statistics

Global Analytics Four Illustrative Stories and a Virtual Academic Community (VALSAC)

John Borkowski (Montana)

Education Statistics

Panel Discussion on Teaching Stat(with Stacey Hancock, Sharp, Dryver, Obrien,Vunhuthuhuong)

Vijay Nair(Michigan)

Applied Stat

Anomaly Detection: A Review and Recent Directions

Yi Chuan Zhao(Georgia)

Survival anal.

Tests for comparison of competing risks under the additive risk model”

Lu Mei(Dept Public Health)

Medical Statistics

Neurorestorative Therapy

Ha Nguyen(Pfizer)

Pharmaceutical Statistics

Clinical Tests and Validation

Lanh Tran(Indiana)

Finance

Nonparametric Optimal Strategies for Commodity Trading

Chris Brien

Experimental Design

Design of Experiments in Greenhouses

P.Lafaye de Micheaux(Montréal)

Computing Statistics

The package Power: a reproducible research tool to facilitate the computation of power of some hypothesis tests, by means of Monte-Carlo simulations

Beatrice Laurent(Toulouse)

Adaptive Testing

The two sample problem for Poisson Processes: adaptive test with a non-asymptotic wild bootstrap approach

Link: http://siod.tdt.edu.vn/index.php/siod/2013