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A Comparative Simulation Study of Wavelet Shrinkage Estimators for Poisson Counts

Articolo
Data di Pubblicazione:
2004
Abstract:
Using computer simulations, the finite sample performance of a number of classical and Bayesian wavelet shrinkage estimators for Poisson counts is examined. For the purpose of comparison, a variety of intensity functions, background intensity levels, sample sizes, primary resolution levels, wavelet filters and performance criteria are employed. A demonstration is given of the use of some of the estimators to analyse a data set arising in high-energy astrophysics. Following the philosophy of reproducible research, the Matlab programs and real-life data example used in this study are made freely available.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Bayesian inference; Gamma-ray bursts; Monte Carlo; Multiscale analysis; Nonparametric regression
Elenco autori:
DE FEIS, Italia
Autori di Ateneo:
DE FEIS ITALIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/161602
Pubblicato in:
INTERNATIONAL STATISTICAL REVIEW
Journal
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