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

该奖项将支持9名美国科学家参与一项 美国--日本统计时间序列分析讨论会，拟举行 1993年1月8日至12日在檀香山。 主办单位为教授 Emanuel Parzen，德克萨斯农工大学统计系， 和信息科学系Mituaki Huzii教授， 东京工业大学。 研讨会的主题是时间 序列建模和信息准则，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，经济学和工程学 时间序列分析的应用。 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。 本文介绍了统计时间序列分析的理论和方法， 对许多领域的应用研究人员产生了极大的兴趣。 研讨会 将汇聚美国顶尖的数学家 中日两国将继续在第一次联合研讨会上开始的对话， 1984年5月在东京举行统计时间序列分析会议。

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.