Time series analysis and its application

By Ding Yi. Chinese Control and Decision Conference, 2008

62 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e87a36d7455ef16fb17752f02c305d696dee9e15

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yongfeng Zhang
2. Xu Chen
3. Min Zhang
4. Hansheng Wang
5. Guokun Lai
6. Yiqun Liu
7. Shaoping Ma
8. Yi Zhang

Citations in the corpus

• Regression coefficient and autoregressive order shrinkage and selection via the lasso (2007, methodology): “In this case, the linear regression with autoregressive errors (REGAR) model is often considered, as it takes into account the autocorrelated structure in regression analysis (Shumway and Stoffer, 2000; Tsay, 1984; Harvey, 1981).”
• Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis (2015, methodology): “Specifically, we tune r = 32, 44, 58, 66, 79, 95 in our FTSA approach by using the corresponding feature set for time series analysis and rating prediction.”