Skip to Main Content
Modeling and Inverse Problems in the Presence of Uncertainty
book

Modeling and Inverse Problems in the Presence of Uncertainty

by H. T. Banks, Shuhua Hu, W. Clayton Thompson
April 2014
Intermediate to advanced content levelIntermediate to advanced
405 pages
13h
English
Chapman and Hall/CRC
Content preview from Modeling and Inverse Problems in the Presence of Uncertainty
Model Selection Criteria 127
where the last term on the right-hand side of the above equation is often
referred to as the bias-correction term. We observe that as the sample size
N this bias-correc tion term approaches zero, and the resultant criterion
is just the usual AIC.
It should be noted that the bias-correctio n term in (4.13) changes if a dif-
ferent probability distribution (e.g., exponential, Poisson) is assumed for the
measurement errors. However, it was suggested in [17] that in practice AIC
c
given by (4.13) is genera lly suitable unless the underlying probability distri-
bution is extremely non-normal, espe cially in terms of being
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Nonlinear Inverse Problems in Imaging

Nonlinear Inverse Problems in Imaging

Jin Keun Seo, Eung Je Woo
Multimodal Scene Understanding

Multimodal Scene Understanding

Michael Ying Yang, Bodo Rosenhahn, Vittorio Murino

Publisher Resources

ISBN: 9781482206432