Likelihood and the Bayes procedure
書誌事項
- 公開日
- 1998
- 権利情報
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- https://www.springernature.com/gp/researchers/text-and-data-mining
- https://www.springernature.com/gp/researchers/text-and-data-mining
- DOI
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- 10.1007/978-1-4612-1694-0_24
- 10.1007/bf02888350
- 公開者
- Springer New York
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説明
In this paper the likelihood function is considered to be the primary source of the objectivity of a Bayesian method. The necessity of using the expected behavior of the likelihood function for the choice of the prior distribution is emphasized. Numerical examples, including seasonal adjustment of time series, are given to illustrate the practical utility of the common-sense approach to Bayesian statistics proposed in this paper.
収録刊行物
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- Springer Series in Statistics
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Springer Series in Statistics 31 (1), 309-332, 1998
Springer New York
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詳細情報 詳細情報について
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- CRID
- 1360574096272016512
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- NII論文ID
- 30040653720
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- NII書誌ID
- AA10736362
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- ISSN
- 01727397
- 00410241
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- データソース種別
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- Crossref
- CiNii Articles
- OpenAIRE