A flexible semiparametric forecasting model for time series
By Degui Li, Oliver B. Linton, Zudi Lu. 2015
62 citations recorded by the source corpus.
Subfields: Applied Mathematics, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5b04fbdeaaa8d73d884f015ce976b7c6afe07174
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
In Finance
- Degui Li
- Zudi Lu
- Oliver B. Linton
- Jia Chen
- Daniel P. McMillen
- Liangjun Su
- Jonathan E. Taylor
- John Fox
In Statistics and Probability
- Degui Li
- Zudi Lu
- Oliver B. Linton
- Jia Chen
- Arthur Lewbel
- Daniel P. McMillen
- B. Hansen
- Wolfgang Karl Härdle
Citations in the corpus
- Semiparametric Ultra-High Dimensional Model Averaging of Nonlinear Dynamic Time Series (2018, methodology): “As pn + dn = O(exp{nδ0}), to ensure the validity of Theorem 1(i), we need to impose the restriction δ0 (1 − θ1)/5, which reduces to δ0 4/25 if the order of the optimal bandwidth in kernel smoothing (i.e., θ1 = 1/5) is used.”