U.S.-Japan Seminar: Statistical Time Series Analysis; January 1993; Honolulu, Hawaii

该奖项将支持9名美国科学家参加将于1993年1月8日至12日在檀香山举行的美日统计时间序列分析研讨会。协办单位是美国德州农工大学统计学系Emanuel Parzen教授和东京工业大学信息科学系Mituaki Huzii教授。研讨会的主题是时间序列建模和信息标准、时间序列建模和新算法、非高斯和非平稳时间序列、非线性和离散时间序列以及时间序列分析的经济和工程应用。多元时间序列分析，非线性关系和非平稳（长记忆）行为将被强调。统计时间序列分析的理论和方法引起了许多领域应用研究者的极大兴趣。讨论会将汇集美国和日本的主要数学家，继续1984年5月在东京举行的第一次统计时间序列分析联合讨论会开始的对话。

This award will support the participation of nine U.S. scientists in a U.S.-Japan Seminar on Statistical Time Series Analysis, to be held January 8-12, 1993 in Honolulu. The co-organizers are Professor Emanuel Parzen, Department of Statistics, Texas A&M University, and Professor Mituaki Huzii, Department of Information Sciences, Tokyo Institute of Technology. The themes of the seminar are time series modeling and information criteria, time series modeling and new algorithms, non-Gaussian and non-stationary time series, non- linear and discrete time series, and economics and engineering applications of time series analysis. Multivariate time series analysis, nonlinear relationships, and nonstationary (long memory) behavior will be emphasized. The theory and methods of statistical time series analysis are of great interest to applied researchers in many fields. The seminar will bring together leading mathematicians from the United States and Japan to continue the dialog begun in the first joint seminar on statistical time series analysis held in May 1984 in Tokyo.