- (PDF),
retrieved 2017-11-24
Gerda Claeskens at the
Mathematics Genealogy Project "Medallion
lecture preview:
Gerda Claeskens", IMS Bulletin,
Institute of Mathematical...
- Kullback–Leibler
divergence Minimum message length The AIC, AICc and BIC
defined by
Claeskens and
Hjort are the
negatives of
those defined in this
article and in most...
-
Claeskens, G.; Hjort, N. L. (2008),
Model Selection and
Model Averaging,
Cambridge University Press. [Note: the AIC
defined by
Claeskens & Hjort...
- but
unlike AIC, is not an
estimator of Kullback–Leibler divergence.
Claeskens &
Hjort (2008, ch. 4) note that HQC, like BIC, but
unlike AIC, is not...
-
Averaging using Bayesian Adaptive Sampling, Wikidata Q98974089.
Gerda Claeskens; Nils Lid
Hjort (2008),
Model selection and
model averaging, Cambridge...
- 7551/mitpress/8996.003.0015, ISBN 978-0-262-29877-3,
retrieved 2023-12-08
Claeskens, G.; Hjort, N.L. (2008),
Model Selection and
Model Averaging, Cambridge...
- (reprinted 1965,
Science 148: 754–759 [1] doi:10.1126/science.148.3671.754)
Claeskens, G. (2016), "Statistical
model choice" (PDF),
Annual Review of Statistics...
- {\displaystyle \theta } . Then the DIC
follows directly from
these approximations.
Claeskens and
Hjort (2008, Ch. 3.5) show that the DIC is large-sample equivalent...
-
estimated precision is selected. The FIC
methodology was
developed by
Gerda Claeskens and Nils Lid Hjort,
first in two 2003
discussion articles in
Journal of...
- etc. An
article on
frequentist model averaging, with co-author
Gerda Claeskens, was
selected as Fast
Breaking Paper in the
field of
mathematics by the...
