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Computing minimal-volume credible sets using interval analysis; application to bayesian estimation

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1 Author(s)
L. Jaulin ; ENSIETA, Brest, France

Given a random vector p with a probability density function (pdf) pi(p), a credible set pi(p) with level alpha is a set that contains p with a probability alpha. The problem of characterizing minimal-volume credible sets (which correspond to level sets for pi) is considered. It is only assumed that the expression of pi(p) results from a combination of elementary operators (+,-,*,/) and elementary functions (sin, cos, abs, etc.). This paper provides an algorithm able to compute accurate inner and outer approximations of minimal-volume credible sets, in a guaranteed way. The approach is based on interval analysis and an application to nonlinear parameter estimation, in a Bayesian context, is treated. A windows solver associated with the presented algorithm is made available at

Published in:

IEEE Transactions on Signal Processing  (Volume:54 ,  Issue: 9 )