Asymptotically efficient importance sampling for the bootstrap

We establish Large Deviation Principle for conditional moderate deviation probabilities of weighted bootstrap empirical measures given empirical measures. On the base of this result, for the problem of estimation of moderate deviation probabilities of statistics having Hadamard derivatives, we prove asymptotic efficiency of importance sampling based on influence functions.