Nonparametric Kernel Regression with Multiple Predictors and Multiple Shape Constraints
By Pang Du, Christopher F. Parmeter, Jeffrey S. Racine. 2012
117 citations recorded by the source corpus.
Subfields: Mathematical Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2c8084dd8ec82900bc0526d266f338bd7b4dd8c4
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In Mathematical Physics
In Statistics and Probability
Citations in the corpus
- Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models (2017, methodology): “In our choice of the distance metric, we thus follow Du et al. (2013), which allows p to be both positive and negative.”
- Testing equality of functions under monotonicity constraints (2012, result): “For the density model, Kiefer and Wolfowitz (1976) showed that the difference between F̂n0 − Fn0 is of the order n−2/3 log n, and a similar result has been obtained by Durot and Tocquet (2003) for the regression model; see also Balabdaoui and Wellner (2007).”