Some results on convergence rates for probabilities of moderate deviations for sums of random variables
From MaRDI portal
Publication:1196603
DOI10.1155/S0161171292000644zbMath0753.60028MaRDI QIDQ1196603
M. Bhaskara Rao, De Li Li, Xiang Chen Wang
Publication date: 16 January 1993
Published in: International Journal of Mathematics and Mathematical Sciences (Search for Journal in Brave)
Full work available at URL: https://eudml.org/doc/46731
Large deviations (60F10) Limit theorems for vector-valued random variables (infinite-dimensional case) (60B12) Limit theorems in probability theory (60F99)
Related Items (22)
Complete convergence and almost sure convergence of weighted sums of random variables ⋮ On the relationship between the Baum-Katz-Spitzer complete convergence theorem and the law of the iterated logarithm ⋮ Precise rates in the law of logarithm for the moment convergence of i.i.d. random variables ⋮ A supplement to the Davis--Gut law ⋮ A note on the Davis-Gut law ⋮ Precise asymptotics in the law of iterated logarithm for the first moment convergence of i.i.d. random variables ⋮ Unnamed Item ⋮ Exact rates in the Davis-Gut law of iterated logarithm for the first-moment convergence of independent identically distributed random variables ⋮ The Davis-Gut law for moving average processes ⋮ Convergence rates for probabilities of moderate deviations for moving average processes ⋮ Convergence rates for probabilities of moderate deviations for multidimensionally indexed random variables ⋮ Precise rates in the law of the iterated logarithm for the first moment convergence ⋮ A supplement to precise asymptotics in the law of the iterated logarithm ⋮ A converse to precise asymptotic results ⋮ Exact asymptotics in log log laws for random fields ⋮ Precise rates in the law of the logarithm in the Hilbert space ⋮ Precise asymptotics in complete moment convergence of moving-average processes ⋮ Precise rates in the law of iterated logarithm for the moment of i.i.d. random variables ⋮ Precise asymptotics in the law of logarithm under dependence assumptions ⋮ The Davis-Gut law and Lai law for finitely inhomogeneous walks ⋮ Generalized Law of the Iterated Logarithm and Its Convergence Rate ⋮ Refinement of convergence rates for tail probabilities
This page was built for publication: Some results on convergence rates for probabilities of moderate deviations for sums of random variables
