A general nonconvex large deviation result II
成果类型：
Article
署名作者：
De Acosta, A
署名单位：
University System of Ohio; Case Western Reserve University
刊物名称：
ANNALS OF PROBABILITY
ISSN/ISSBN：
0091-1798
DOI：
10.1214/009117904000000441
发表日期：
2004
页码：
1873-1901
关键词：
摘要：
We refine the conditions for the lower bound in an abstract large deviation result with nonconvex rate function we had previously introduced. We apply the results to certain stochastic recursive schemes.