Aug 19th, 2007| 11:35 pm | Posted by hlee
One of the most frequently cited papers in model selection would be An Asymptotic Equivalence of Choice of Model by Cross-Validation and Akaike’s Criterion by M. Stone, Journal of the Royal Statistical Society. Series B (Methodological), Vol. 39, No. 1 (1977), pp. 44-47.
(Akaike’s 1974 paper, introducing Akaike Information Criterion (AIC), is the most often cited paper in the subject of model selection).
Continue reading ‘Cross-validation for model selection’ »
Tags:
AIC,
Cash statistics,
cross-validation,
exponential family,
Fisher information,
maximum likelihood,
Model Selection,
resampling,
score,
TIC Category:
Algorithms,
Frequentist,
Methods,
Stat,
arXiv |
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Jun 25th, 2007| 01:27 pm | Posted by hlee
One of the papers from arxiv/astro-ph discusses kernel regression and model selection to determine photometric redshifts astro-ph/0706.2704. This paper presents their studies on choosing bandwidth of kernels via 10 fold cross-validation, choosing appropriate models from various combination of input parameters through estimating root mean square error and AIC, and evaluating their kernel regression to other regression and classification methods with root mean square errors from literature survey. They made a conclusion of flexibility in kernel regression particularly for data at high z.
Continue reading ‘[ArXiv] Kernel Regression, June 20, 2007’ »
Tags:
AIC,
BIC,
Classification,
cross-validation,
kernel,
photometric redshifts,
regression,
SDSS Category:
Frequentist,
Galaxies,
Stat,
arXiv |
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