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Simple and effective boundary correction for kernel densities and regression with an application to the world income and Engel curve estimation.
J. Dai
Stefan Sperlich
Published in:
Comput. Stat. Data Anal. (2010)
Keyphrases
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probability density
support vector
probability distribution
model selection
kernel methods
kernel density estimation
sparse kernel
markov random field
kernel function
density estimation
gaussian processes
kernel matrix
reproducing kernel hilbert space
parzen window
ordinary least squares
kernel ridge regression