Pages that link to "Item:Q5261759"
From MaRDI portal
The following pages link to Large and moderate deviation principles for recursive kernel density estimators defined by stochastic approximation method (Q5261759):
Displaying 21 items.
- Automatic bandwidth selection for recursive kernel density estimators with length-biased data (Q830250) (← links)
- Data-driven bandwidth selection for recursive kernel density estimators under double truncation (Q1711618) (← links)
- Data-driven deconvolution recursive kernel density estimators defined by stochastic approximation method (Q2023841) (← links)
- Recursive regression estimation based on the two-time-scale stochastic approximation method and Bernstein polynomials (Q2121627) (← links)
- The stochastic approximation method for recursive kernel estimation of the conditional extreme value index (Q2136049) (← links)
- Stochastic control of a class of dynamical systems via path limits (Q2155921) (← links)
- Optimal bandwidth selection for recursive Gumbel kernel density estimators (Q2178952) (← links)
- Bandwidth selection for recursive kernel density estimators defined by stochastic approximation method (Q2260589) (← links)
- The stochastic approximation method for estimation of a distribution function (Q2261928) (← links)
- Recursive kernel density estimation and optimal bandwidth selection under \(\alpha\): mixing data (Q2322055) (← links)
- Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method (Q2322619) (← links)
- On the choice of smoothing parameters for semirecursive nonparametric hazard estimators (Q2323198) (← links)
- Bandwidth selector for nonparametric recursive density estimation for spatial data defined by stochastic approximation method (Q5077234) (← links)
- Large and moderate deviation principles for nonparametric recursive kernel distribution estimators defined by stochastic approximation method (Q5106688) (← links)
- (Q5114795) (← links)
- Recursive kernel estimator in a semiparametric regression model (Q5881429) (← links)
- Plug‐in bandwidth selector for recursive kernel regression estimators defined by stochastic approximation method (Q6063606) (← links)
- Nonparametric recursive estimation for multivariate derivative functions by stochastic approximation method (Q6133738) (← links)
- A model for data transmission and its optimization (Q6139076) (← links)
- Modeling and control of data transmission (Q6172241) (← links)
- Semi-recursive kernel conditional density estimators under random censorship and dependent data (Q6587713) (← links)