CLT-related large deviation bounds based on Stein's method

@inproceedings{Rai2002CLTrelatedLD,
  title={CLT-related large deviation bounds based on Stein's method},
  author={Martin Rai{\vc}},
  year={2002}
}
Large deviation estimates are derived for sums of random variables with certain dependence structures. Our results cover local dependence (including U -statistics and Nash equilibria), finite population statistics and random graphs. The argument is based on Stein’s method, but with a novel modification of Stein’s equation inspired by the Cramér transform. 

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