Bayes optimal stopping of a homogeneous poisson process under linex loss function and variation in the prior
Applicationes Mathematicae, Tome 24 (1997) no. 4, pp. 457-463
Voir la notice de l'article provenant de la source Institute of Mathematics Polish Academy of Sciences
A homogeneous Poisson process (N(t),t ≥ 0) with the intensity function m(t)=θ is observed on the interval [0,T]. The problem consists in estimating θ with balancing the LINEX loss due to an error of estimation and the cost of sampling which depends linearly on T. The optimal T is given when the prior distribution of θ is not uniquely specified.
DOI :
10.4064/am-24-4-457-463
Keywords:
prior distribution uncertainty, homogeneous Poisson process, LINEX loss function
Affiliations des auteurs :
Marek Męczarski 1 ; Ryszard Zieliński 1
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author = {Marek M\k{e}czarski and Ryszard Zieli\'nski},
title = {Bayes optimal stopping of a homogeneous poisson process under linex loss function and variation in the prior},
journal = {Applicationes Mathematicae},
pages = {457--463},
publisher = {mathdoc},
volume = {24},
number = {4},
year = {1997},
doi = {10.4064/am-24-4-457-463},
zbl = {0890.62065},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.4064/am-24-4-457-463/}
}
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Marek Męczarski; Ryszard Zieliński. Bayes optimal stopping of a homogeneous poisson process under linex loss function and variation in the prior. Applicationes Mathematicae, Tome 24 (1997) no. 4, pp. 457-463. doi: 10.4064/am-24-4-457-463
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