Higher order asymptotics for large deviations – Part I

Author:

Fernando Kasun1,Hebbar Pratima2

Affiliation:

1. Department of Mathematics, University of Toronto, 40 St George St. Toronto, ON, Canada M5S 2E4. E-mail: kasun.akurugodage@utoronto.ca

2. Department of Mathematics, University of Maryland, 4176 Campus Drive, College Park, MD 20742-4015, United States. E-mail: phebbar@umd.edu

Abstract

For sequences of non-lattice weakly dependent random variables, we obtain asymptotic expansions for Large Deviation Principles. These expansions, commonly referred to as strong large deviation results, are in the spirit of Edgeworth Expansions for the Central Limit Theorem. We show that the results are applicable to Diophantine iid sequences, finite state Markov chains, strongly ergodic Markov chains and Birkhoff sums of smooth expanding maps & subshifts of finite type.

Publisher

IOS Press

Subject

General Mathematics

Reference39 articles.

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2. Central limit theorem for linear groups;Benoist;Ann. Probab.,2016

3. R.N. Bhattacharya and R. Ranga Rao, Normal Approximation and Asymptotic Expansions, 1st edn, John Wiley and Sons, 1976.

4. Extensions of Jentzsch’s theorem;Birkhoff;Trans. Amer. Math. Soc.,1957

5. P. Bougerol and J. Lacroix, Products of Random Matrices with Applications to Schrödinger Operators, 1st edn, Progress in Probability and Statistics, Birkhäuser Basel, Boston, 1985.

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