Nonparametric bayesian inference for dichotomous response models |
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Authors: | Evan P Smouse |
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Institution: | Department of Mathematical Sciences Montana , State University Bozeman , Montana, U.S.A |
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Abstract: | A Bayesian least squares approach is taken here to estimate certain parameters in generalized linear models for dichotomous response data. The method requires that only first and second moments of the probability distribution representing prior information be specified* Examples are presented to illustrate situations having direct estimates as well as those which require approximate or iterative solutions. |
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Keywords: | Bayesian least squares dichotomous response models binary data generalized linear models |
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