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A Comparative Simulation Study of Wavelet Shrinkage Estimators for Poisson Counts

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Bayesian inference; Gamma-ray bursts; Monte Carlo; Multiscale analysis; Nonparametric regression
List of contributors:
DE FEIS, Italia
Authors of the University:
DE FEIS ITALIA
Handle:
https://iris.cnr.it/handle/20.500.14243/161602
Published in:
INTERNATIONAL STATISTICAL REVIEW
Journal
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