On optimal kernel choice for deconvolution
By Aurore Delaigle, Peter Hall. 2006
48 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/33ded672362061d24f69a215fb3921e36fe1d1dc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Peter Hall
- Soumendra Nath Lahiri
- Aurore Delaigle
- H. Muller
- Han Lin Shang
- Manfred Mudelsee
- Adela Martínez-Calvo
- Yehua Li
In Statistics and Probability
- Soumendra Nath Lahiri
- Peter Hall
- H. Muller
- Aurore Delaigle
- Han Lin Shang
- Jing Lei
- Peter Buhlmann
- Adela Martínez-Calvo
Citations in the corpus
- Estimation of distributions, moments and quantiles in deconvolution problems (2008, background): “Such kernels are widely used in practice, where they have good numerical and theoretical performance; see Delaigle and Hall (2006).”