Density estimation for discrete time processes
Part of the Lecture Notes in Statistics book series (LNS, volume 110)
This chapter deals with nonparametric density estimation for sequences of correlated random variables.
KeywordsDensity Estimation Asymptotic Normality Kernel Estimate Kernel Density Estimator Lebesgue Dominate Convergence Theorem
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© Springer Science+Business Media New York 1998