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- W1530606377 abstract "Statistical models are developed for the purpose of addressing scientific questions. For each scientific question for which data are collected, the truth is sought by developing statistical models that are useful in this regard. Despite the fact that restrictive parametric models have been shown to be extraordinarily effective in many instances, there is and has been much scope for developing statistical inferences for models that allow for greater flexibility. It would seem that just about any statistical modeling endeavor can be expanded and approached, at least conceptually, as a nonparametric problem. The purpose of this chapter is to give a brief discussion of, and introduction to, one of the two major approaches to the whole of statistics as it were, Bayesian nonparametrics." @default.
- W1530606377 created "2016-06-24" @default.
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- W1530606377 date "2005-01-01" @default.
- W1530606377 modified "2023-10-12" @default.
- W1530606377 title "Bayesian Nonparametric Modeling and Data Analysis: An Introduction" @default.
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- W1530606377 doi "https://doi.org/10.1016/s0169-7161(05)25009-5" @default.
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