Abstract
In this chapter we investigate the problem of estimating density for continuous time processes when continuous or sampled data are available.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media New York
About this chapter
Cite this chapter
Bosq, D. (1998). Kernel density estimation for continuous time processes. In: Nonparametric Statistics for Stochastic Processes. Lecture Notes in Statistics, vol 110. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1718-3_5
Download citation
DOI: https://doi.org/10.1007/978-1-4612-1718-3_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98590-9
Online ISBN: 978-1-4612-1718-3
eBook Packages: Springer Book Archive