Normal Approximation and Asymptotic Expansions 论文

2010Society for Industrial and Applied Mathematics eBooks引用 950
Bayesian Methods and Mixture ModelsProbability and Risk Models

详细信息

发表期刊/会议
Society for Industrial and Applied Mathematics eBooks
发表日期
2010-01-01
发表年份
2010

关键词

Bayesian Methods and Mixture ModelsProbability and Risk Models

摘要

Preface to the Classics Edition Preface 1. Weak convergence of probability measures and uniformity classes 2. Fourier transforms and expansions of characteristic functions 3. Bounds for errors of normal approximation 4. Asymptotic expansions-nonlattice distributions 5. Asymptotic expansions-lattice distributions 6. Two recent improvements 7. An application of Stein's method Appendix A.1. Random vectors and independence Appendix A.2. Functions of bounded variation and distribution functions Appendix A.3. Absolutely continuous, singular, and discrete probability measures Appendix A.4. The Euler-MacLaurin sum formula for functions of several variables References Index.