DocumentCode :
2341174
Title :
Bandwidth choice and convergence rates in density estimation with long-range dependent data
Author :
Hall, Peter ; Lahiri, Soumendra Nath ; Truong, Young K.
Author_Institution :
Centre for Math. and its Applications, Australian Nat. Univ., Canberra, ACT, Australia
fYear :
1994
fDate :
27-29 Oct 1994
Firstpage :
40
Abstract :
The authors discuss the optimal bandwidth choice and optimal convergence rates for density estimation with dependent data, as the amount of information in the sample is altered by adjusting the range of dependence. They assume that data are observed from a stationary stochastic process that may be taken to be an unknown function of a Gaussian process
Keywords :
convergence of numerical methods; estimation theory; information theory; stochastic processes; Gaussian process; density estimation; information; long-range dependent data; optimal bandwidth choice; optimal convergence rates; sample; stationary stochastic process; Australia; Bandwidth; Convergence; Gaussian processes; Kernel; Mathematics; Qualifications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
Type :
conf
DOI :
10.1109/WITS.1994.513875
Filename :
513875
Link To Document :
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