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Nonparametric estimation in a regression model with additive and multiplicative noise.
Christophe Chesneau
Salima El Kolei
Junke Kou
Fabien Navarro
Published in:
J. Comput. Appl. Math. (2020)
Keyphrases
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regression model
nonparametric estimation
model selection
regression analysis
generalized linear models
gaussian process
probability density
multivariate regression
explanatory variables
probability density function
machine learning
multiplicative noise
interval valued data