# Stochastic kernel

A **stochastic kernel** is the transition function of a (usually discrete-time) stochastic process. Often, it is assumed to be iid, thus a probability density function.

Formally a density can be

where is the observed series, is the bandwidth, and **K** is the kernel function.

## Examples

- The
*uniform*kernel is for . - The
*triangular*kernel is for . - The
*quartic*kernel is for . - The
*Epanechnikov kernel*is for .

de:Übergangswahrscheinlichkeit it:Probabilità di transizione

## External Links

- Example using stochastic kernel for regression (Kardi Teknomo's tutorial)