ISBIS-2010
International Symposium on Business and Industrial Statistics

Grand Hotel Bernardin, St. Bernardin, Adriatic Resort & Convention Center
Portoroz (Portorose), Slovenia
July 5 - 9, 2010
 
Program
Program Committee    
Call for Papers (printed version, *.pdf)    
Keynote & Invited Speakers    
 

Scientific Program


Download Call for papers

ISBIS-2010 will provide a varied and stimulating scientific program of invited and contributed papers, and excellent opportunities for formal and informal exchanges.

It will have four main themes:

  • Statistical Image Analysis – see below for more details
  • Large and Complex Data Sets – see below for more details
  • Statistics in Financial Services
  • Quality in Health Services

KEYNOTE SESSIONS

The conference will open and close with plenary sessions led by two worlds in their areas.

On Tuesday morning July 6, after the Opening Ceremony, the opening Keynote Address will be presented by Jean Serra, co-founder with George Matheron of the morphological approach to Image Analysis, in which he will review the history and development of the subject. In one of the parallel streams, Jean will provide a tutorial introduction to Image Analysis. The final session will feature case studies presented by Adrian Baddeley, Leanne Bischoff and Luc Vincent.

On Friday afternoon, July 9, there will be a plenary session on the future of statistical analysis for Large and Complex Data Sets, featuring William Cleveland, Suptarshi Guha and John Morrison. Then the closing Keynote Address on the future of statistical computing for massive data sets will be presented by Lee Edlefsen.

Invited Paper Sessions will include the following topics:

  • y-BIS Special Invited Session with the Editors
  • Applications of Entropy Optimization Principles in Statistics and Economics
  • Challenges in Analyzing Complex Data
  • Chemometrics
  • Component-based and Probabilistic Modeling of Predictive Paths between Complex and Multiple Datasets
  • Computer Experiments
  • Data Mining Applications
  • Data Quality Mining
  • Health and Safety Surveillance
  • Image Analysis
  • Large and Complex Data Sets
  • Medical Image Analysis
  • Methodologies for Post-Euclidean Statistics
  • Mixture Design
  • Object-oriented Data Analysis
  • Professional Development for Statisticians
  • Quality, Efficiency, Patient Safety and Patient Satisfaction
  • Reliability
  • Spatial Extreme Value Statistics
  • Statistical Process Control
  • Statistics and Networks
  • Statistics in the Information Sciences
  • Statistics: a SWOT analysis
  • Time Series and Spectral Modeling
  • Topics in Time series analysis
  • Transportation
  • Warranty Analysis
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