BOOK-CHAPTER
Gaussian approximation of moments of sums of independent symmetric random variables with logarithmically concave tails
Year: 2009 Institute of Mathematical Statistics collections Pages: 37-42 Publisher: Institute of Mathematical Statistics
Abstract
We study how well moments of sums of independent symmetric random variables with logarithmically concave tails may be approximated by moments of Gaussian random variables.
Keywords:
Mathematics Gaussian Random variable Symmetric function Variables Statistical physics Mathematical analysis Combinatorics Statistics Physics Quantum mechanics
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Citation History
Topics
Random Matrices and Applications
Physical Sciences → Mathematics → Statistics and Probability
Mathematical functions and polynomials
Physical Sciences → Mathematics → Applied Mathematics
Advanced Harmonic Analysis Research
Physical Sciences → Mathematics → Applied Mathematics
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