In order to construct confidence sets for a marginal density f of a strictly stationary continuous time process observed over the time interval [0, T ], it is necessary to have at one's disposal a Central Limit Theorem for the kernel density estimator f T . In this paper we address the question of n
β¦ LIBER β¦
Accurate rates of density estimators for continuous-time processes
β Scribed by D. Blanke; D. Bosq
- Book ID
- 104302507
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 316 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
β¦ Synopsis
We specify necessary conditions for getting parametric convergence rate of kernel density estimators. For continuoustime processes observed over [0, T], we show that two possible exact rates are (In T)/T and 1/T, according to the nature of sample paths.
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