Strong deviation theorems for delayed sums of the nonnegative continuous random variables

DOI10.1080/03610926.2020.1774059OpenAlexW3033157046MaRDI QIDQ5079879

Fengkai Dong, Hui Lin Huang

Publication date: 30 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2020.1774059

zbMATH Keywords

delayed sumsgeneralized log-likelihood ratiogeneralized strong deviation theoremsnonnegative continuous random variables

Mathematics Subject Classification ID

Random graphs (graph-theoretic aspects) (05C80) Statistics (62-XX) Combinatorial probability (60C05)

Cites Work

• Unnamed Item
• On the strong law of large numbers for delayed sums and random fields
• Strong deviation theorems for functionals of the nonnegative continuous random variables
• A class of random deviation theorems for sums of nonnegative stochastic sequence and strong law of large numbers
• Relative entropy densities and a class of limit theorems of the sequence of m-valued random variables
• A class of random deviation theorems and the approach of Laplace transform
• Limit theorems for delayed sums
• A class of small deviation theorems for the sequences of nonnegative integer-valued random variables
• THE GENERALIZED ENTROPY ERGODIC THEOREM FOR NONHOMOGENEOUS MARKOV CHAINS INDEXED BY A HOMOGENEOUS TREE

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