Precise large deviations for strong subexponential distributions and applications on a multi risk model
From MaRDI portal
Publication:5077888
DOI10.1080/03610926.2018.1508717OpenAlexW2898541224WikidataQ129035731 ScholiaQ129035731MaRDI QIDQ5077888
Publication date: 20 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2018.1508717
Central limit and other weak theorems (60F05) Statistics (62-XX) Sums of independent random variables; random walks (60G50) Large deviations (60F10)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Precise large deviations for consistently varying-tailed distributions in the compound renewal risk model
- Extended precise large deviations of random sums in the presence of END structure and consistent variation
- Lower bounds of large deviation for sums of long-tailed claims in a multi-risk model
- Extreme value analysis for the sample autocovariance matrices of heavy-tailed multivariate time series
- Large deviations of heavy-tailed sums with applications in insurance
- Precise large deviations of aggregate claims with dominated variation in dependent multi-risk models
- Rates in approximations to ruin probabilities for heavy-tailed distributions
- Large deviations for sums of independent heavy-tailed random variables
- Some asymptotic results for one-sided large deviation probabilities
- Precise large deviations for long-tailed distributions
- Precise Large Deviations for Sums of Random Variables with Consistent Variation in Dependent Multi-Risk Models
- An Introduction to Heavy-Tailed and Subexponential Distributions
- Large-Deviation Probabilities for Maxima of Sums of Independent Random Variables with Negative Mean and Subexponential Distribution
- Subexponential distributions and integrated tails
- Large deviations of heavy-tailed random sums with applications in insurance and finance
- Precise large deviations for sums of random variables with consistently varying tails
- Precise Large Deviations for Sums of Random Variables with Consistently Varying Tails in Multi-Risk Models
- A contribution to the theory of large deviations for sums of independent random variables
- On Large Deviation Problems for Sums of Random Variables which are not Attracted to the Normal Law
- Integral Limit Theorems Taking Large Deviations into Account when Cramér’s Condition Does Not Hold. I
- Integral Limit Theorems Taking Large Deviations Into Account When Cramér’s Condition Does Not Hold. II
- Large deviations of sums of independent random variables
- Large deviations for heavy-tailed random sums in compound renewal model
This page was built for publication: Precise large deviations for strong subexponential distributions and applications on a multi risk model