Infinitesimal robustness in Bayesian statistical models

Agata Boratyńska. "Infinitesimal robustness in Bayesian statistical models." Mathematica Applicanda 23.37 (1994): null. <http://eudml.org/doc/293493>.

@article{AgataBoratyńska1994,
abstract = {The problem of measuring the Bayesian robustness is considered. An upper bound for the oscillation of a posterior functional in terms of the Kolmogorov distance between the prior distributions is given. The norm of the Frechet derivative as a measure of local sensitivity is presented. The problem of finding optimal statistical procedures is presented.},
author = {Agata Boratyńska},
journal = {Mathematica Applicanda},
keywords = {Bayesian inference; Robustness and adaptive procedures},
language = {eng},
number = {37},
pages = {null},
title = {Infinitesimal robustness in Bayesian statistical models},
url = {http://eudml.org/doc/293493},
volume = {23},
year = {1994},
}

TY - JOUR
AU - Agata Boratyńska
TI - Infinitesimal robustness in Bayesian statistical models
JO - Mathematica Applicanda
PY - 1994
VL - 23
IS - 37
SP - null
AB - The problem of measuring the Bayesian robustness is considered. An upper bound for the oscillation of a posterior functional in terms of the Kolmogorov distance between the prior distributions is given. The norm of the Frechet derivative as a measure of local sensitivity is presented. The problem of finding optimal statistical procedures is presented.
LA - eng
KW - Bayesian inference; Robustness and adaptive procedures
UR - http://eudml.org/doc/293493
ER -