The 9th International Workshop in Sequential Methodologies
Hosted by American University in Washington, DC
June 1 – 4, 2026

Thank you to everyone who made the 9th IWSM such a vibrant and inspiring summit—bringing together 170 researchers and students from 14 countries and 31 US states. Across four days and 165 presentations, your contributions created an exceptional exchange of ideas.
2026 Conference Program

IWSM 2028

The torch is now passed to New York City, where the 10th International Workshop in Sequential Methodologies will take place on June 5–8, 2028 (save the date!). The IWSM-2028 will be hosted by the Department of Biostatistics  of the School of Global Public Health at New York University. For inquiries and session proposals, please contact Professor Yajun Mei, the chair of IWSM-2028 Organizing Committee, at [email protected].

Image created using generative AI.

Abraham Wald Prize in Sequential Analysis

Congratulations to the laureates of the 2024 and 2025 Abraham Wald Prize in Sequential Analysis — awarded June 3, 2026, at the 9th IWSM  — that honors the best publication in Sequential Analysis journal:

• N. Mukhopadhyay and B. Zhang, for the paper Theory and practice of second-order expansions for moments of 100ρ% accelerated sequential stopping times in parametric and nonparametric estimation with arbitrary fractional ρ. Sequential Analysis 43: 179-210, 2024.
• O. Arkoun, J. Y. Brua, and S. Pergamenchtchikov, for the paper Adaptive efficient robust sequential analysis for autoregressive big data models. Sequential Analysis 43: 432-460, 2024.
• S. Efromovich, for the paper Asymptotic theory of nonparametric sequential estimation of hazard rate with bounded moment of stopping time. Sequential Analysis 44: 404-426, 2025.
• A.S. Aloufi and N. Mukhopadhyay, for the paper Two-stage two-sample negative exponential fixed-width confidence intervals with tables of percentiles for equal and unequal pilot sizes: Illustrations with cancer datasets. Sequential Analysis 44: 524-567.

Conference Overview

The International Workshop in Sequential Methodologies (IWSM) meets every two years and brings together researchers and practitioners to explore the latest advancements in sequential statistics. The workshop provides a platform for presenting theoretical results, exploring practical applications, and addressing challenges in areas such as sequential testing, change-point detection, sequential estimation, selection and ranking, machine learning, artificial intelligence, clinical trials, adaptive design, stochastic quality and process control, optimal stopping, stochastic approximation, applied probability, mathematical finance, and related fields of probability, statistics, and applications. By covering a broad range of methodological and applied areas, IWSM aims to advance sequential statistical analysis and its diverse modern applications.