WORKSHOP ON
QUASI-MONTE CARLO METHODS
AND THEIR APPLICATIONS

December 11-13, 1995

The efficiency of Monte Carlo methods can often be improved by using uniformly scattered deterministic points instead of pseudo-random points. These quasi-Monte Carlo methods (also known as number-theoretic methods) have been applied to a variety of numerical and statistical problems, including design of experiments, statistical inference, multidimensional quadrature, optimization and simulation.

This fall a workshop will be held at Hong Kong Baptist University to discuss the latest developments in quasi-Monte Carlo methods. The invited speakers include:

• Russel Caflisch, University of California at Los Angeles
• Kai-Tai Fang, Hong Kong Baptist University
• Fred Hickernell, Hong Kong Baptist University
• Harald Niederreiter, Austrian Academy of Sciences
• Art Owen, Stanford University
• Ian Sloan, University of New South Wales
• Yuan Wang, Chinese Academy of Sciences, Beijing
• Henry Wynn, University of Warwick

The registration fee for this workshop is HK$600 (US$78), which includes conference materials, lunches and a banquet. Those wishing to contribute a paper should contact either of the organizers:

Kai-Tai Fang

Fred Hickernell

Statistics Research and Consultancy Unit

Hong Kong Baptist University

Kowloon Tong, HONG KONG

Tel: +852 2339 5056

Fax: +852 2336 1505

http://www.math.hkbu.edu.hk