会议专题

Bandwidth Choice of Log-periodogram Estimators With Short-term Noise in Long Memory Series

This paper makes research on two log-periodogram estimators of long memory and takes importance to the short-term noise effects on the bandwidth choice. It turned out that under finite samples, both the shortterm and long-term impact on the performance of the log-periodogram estimators. Experiments found that it caused difficulty in choosing an optimum bandwidth with the presence of short-term noise, however, the minimum RMSE criteria is a relatively acceptable choice.

Bandwidth Choice Log-Periodogram Estimator Short-Term Noise Long Memory

Lu Deng Yingruolan Li

School of Statistics,Central University of Finance and Economics,Beijing, P.R. China, 100081

国际会议

2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

上海

英文

1265-1268

2011-07-26(万方平台首次上网日期,不代表论文的发表时间)