Submitted by Tze L. Lai, Nitis Mukhopadhyay, and Alex Tartakovsky

The International Workshop in Sequential Methodologies (IWSM) will take place June 14–16 at Stanford University and highlight the following themes:

• Sequential and adaptive design of clinical trials and other sequential methods in biostatistics
• Sequential change-point detection, quality control and surveillance, sequential methods in signal processing, and sensor networks
• Sequential estimation, testing, ranking, and selection; optimal stopping and stochastic control; applications to finance and economics; and related topics in statistics and probability

Additionally, there will be plenary presentations by David Siegmund of Stanford University, Gary Lorden of the California Institute of Technology, and T. N. Sriram of the University of Georgia-Athens and the 70th birthdays of Lorden and Siegmund will be celebrated.

IWSM is organized every two years and covers all aspects of sequential methodologies, including statistical inference, information theory, optimal stopping, change detection, multiple comparisons, selection and ranking, and surveillance. Areas of applications include mathematical finance, quality control, reliability, clinical trials, and signal and image processing. The goal of the workshop is to bring together researchers and practitioners from varied areas within sequential methodologies, including teaching.

For more information and to register, visit the workshop’s website. Questions may be addressed to Tze L. Lai at lait@stanford.edu.