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A RANDOM LINEAR FUNCTIONAL-APPROACH TO EFFICIENCY BOUNDS
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DOI：10.1016/0304-4076(94)01603-W.png)
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摘要
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This paper suggests a method for obtaining efficiency bounds in models containing either only infinite-dimensional parameters or both finite- and infinite-dimensional parameters (semiparametric models). The method is based on a theory of random linear functionals applied to the gradient of the log-likelihood functional and is illustrated by computing the lower bound for Cox's regression model.
Keyword:
EFFICIENCY BOUNDS
SEMIPARAMETRIC MODELS
期刊
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4
论文数:
5.3K
被引数:
3.0W
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