2016年
Application of an integer-valued autoregressive model to hit phenomena
Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016
- ,
- 開始ページ
- 2513
- 終了ページ
- 2517
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/BigData.2016.7840890
- 出版者・発行元
- Institute of Electrical and Electronics Engineers Inc.
We propose a new model for hit phenomena. Our model is based on the Integer-Valued autoregressive model in form of a stochastic difference equation, and it describes behaviors of count data sequences. Utilizing our model, we give a theoretical formulation of the concept 'hit', and a systematic method deciding whether given time series count data contains 'hit'.
- ID情報
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- DOI : 10.1109/BigData.2016.7840890
- SCOPUS ID : 85015155015