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On the efficiency of selection criteria in spline regression

✍ Scribed by S. C. Kou


Publisher
Springer
Year
2003
Tongue
English
Weight
253 KB
Volume
127
Category
Article
ISSN
1432-2064

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A 'partially improper' Gaussian prior is considered for Bayesian inference in logistic regression. This includes generalized smoothing spline priors that are used for nonparametric inference about the logit, and also priors that correspond to generalized linear mixed models. Necessary and su cient c