Аннотация:Integral analogues of Cramer–Rao’s inequalities for Bayesian parameter estimators proposed initially by Schutzenberger (1958) and later by van Trees (1968) were further developed by
Borovkov and Sakhanenko (1980). In the paper, new asymptotic versions of such inequalities are es-
tablished under ultimately relaxed regularity assumptions and under a locally uniform non-vanishing
of the prior density and with R 1 as a parameter set. Optimality of Borovkov–Sakhanenko’s asymptotic
lower bound functional is established.