dc.contributor.author | Chang, Christopher C. | en |
dc.contributor.author | Politis, Dimitris Nicolas | en |
dc.creator | Chang, Christopher C. | en |
dc.creator | Politis, Dimitris Nicolas | en |
dc.date.accessioned | 2019-12-02T10:34:14Z | |
dc.date.available | 2019-12-02T10:34:14Z | |
dc.date.issued | 2011 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/56579 | |
dc.description.abstract | We consider finite-order moving average and nonlinear autoregressive processes with no parametric assumption on the error distribution, and present a kernel density estimator of a bootstrap series that estimates their marginal densities root-n consistently. This is equal to the rate of the best known convolution estimators, and is faster than the standard kernel density estimator. We also conduct simulations to check the finite sample properties of our estimator, and the results are generally better than corresponding results for the standard kernel density estimator. © 2011 Elsevier B.V. | en |
dc.source | Statistics and Probability Letters | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952224972&doi=10.1016%2fj.spl.2011.02.008&partnerID=40&md5=007a694cf8bc9a01aadf185c42b6cfb2 | |
dc.subject | Moving average process | en |
dc.subject | Convolution estimator | en |
dc.subject | Kernel function | en |
dc.subject | Nonlinear autoregressive process | en |
dc.subject | Nonparametric density estimation | en |
dc.title | Bootstrap with larger resample size for root-n consistent density estimation with time series data | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1016/j.spl.2011.02.008 | |
dc.description.volume | 81 | |
dc.description.issue | 6 | |
dc.description.startingpage | 652 | |
dc.description.endingpage | 661 | |
dc.author.faculty | Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Cited By :2</p> | en |
dc.source.abbreviation | Stat.Probab.Lett. | en |