More Efficient Local Polynomial Estimation in Nonparametric Regression With Autocorrelated Errors
By Zhijie Xiao, Oliver B. Linton, Raymond J. Carroll, Enno Mammen. 2003
111 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f650420f02ffd81670c33ff83544a2e634bd4a0c
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Citations in the corpus
- Trending time-varying coefficient time series models with serially correlated errors (2007, background): “For a cogent discussion of this aspect, see Fan and Yao (1998), Xiao et al. (2003) , and Cai and Chen (2005).”
- Local polynomial estimation of nonparametric simultaneous equations models (2008, methodology): “Our procedure resembles many other kernel-based multi-stage nonparametric procedures (e.g., Linton, 2000; Xiao et al., 2003; Su and Ullah, 2006) in that the first stage estimation does not contribute to the asymptotic variance of the final stage estimators.”
- Semiparametric GMM estimation of spatial autoregressive models (2012, background): “Nevertheless, due to the presence of the nonparametric componentm, it is not obvious how one should proceed along this direction (see Xiao et al. (2003) in the time series setup).”