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A Comparative Study for Several Bayesian Estimators Under Balanced Loss Function
초록
In this research, the performance of widely used Bayesian estimators such as Bayes estimator, empirical Bayes estimator, constrained Bayes estimator and constrained empirical Bayes estimator are compared by means of a measurement under balanced loss function for the typical normal-normal situation. The proposed measurement is a weighted sum of the precisions of first and second moments. As a result, one can gets the criterion according to the size of prior variance against the population variance.
키워드
Balanced loss function; Bayes estimator; Constrained Bayes estimator; Constrained empirical Bayes estimator; Empirical Bayes estimator; Mean squared error
- 제목
- A Comparative Study for Several Bayesian Estimators Under Balanced Loss Function
- 저자
- 김영화
- 발행일
- 2006-06
- 저널명
- 한국데이터정보과학회지
- 권
- 17
- 호
- 2
- 출판사
- 한국데이터정보과학회
- 발행국가
- 대한민국
- ISSN
- P 1598-9402