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Large deviation principles for sequences of logarithmically weighted means
Authors:Rita Giuliano
Institution:a Dipartimento di Matematica “L. Tonelli”, Università di Pisa, Largo Bruno Pontecorvo 5, I-56127 Pisa, Italy
b Dipartimento di Matematica, Università di Roma Tor Vergata, Via della Ricerca Scientifica, I-00133 Rome, Italy
Abstract:In this paper we consider several examples of sequences of partial sums of triangular arrays of random variables {Xn:n?1}; in each case Xn converges weakly to an infinitely divisible distribution (a Poisson distribution or a centered Normal distribution). For each sequence we prove large deviation results for the logarithmically weighted means View the MathML source with speed function View the MathML source. We also prove a sample path large deviation principle for {Xn:n?1} defined by View the MathML source, where σ2∈(0,∞) and {Un:n?1} is a sequence of independent standard Brownian motions.
Keywords:Large deviations  Logarithmically weighted mean  Almost sure central limit theorem  Triangular array  Infinitely divisible distribution  Hellinger distance
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