Convergence Rates of Estimators of a Finite Parameter: How Small can Error Probabilities Be?
نویسندگان
چکیده
منابع مشابه
How Small Can Be?
We consider the following shadow system of Gierer-Meinhardt model 8 < : A > 0; A x (0; t) = A x (1; t) = 0: where 1 < p < +1; 2r p?1 > s + 1; s 0 and > 0. We show that the monotone steady-state solution exists and linearly stable if and only if < p p ? 1 : Uniqueness and transversality of Hopf bifurcations and extension to higher dimensions are also discussed.
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ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 1983
ISSN: 0090-5364
DOI: 10.1214/aos/1176346070