Constrained recursive kernel density/regression estimation by stochastic quasi-gradient methods

Vladimir Norkin, Vladimir Kirilyuk

The paper considers nonparametric kernel density/regression estimation from a stochastic optimization point of view. The estimation problem is represented through a family of stoch…