Adjustment coefficient for risk processes in some dependent contexts

DOI10.1007/s11009-010-9182-yzbMath1368.62241arXiv0901.0182OpenAlexW2012167410MaRDI QIDQ429976

Véronique Maume-Deschamps, Hélène Cossette, Étienne Marceau

Publication date: 20 June 2012

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0901.0182

zbMATH Keywords

risk processruin theoryweak dependenceadjustment coefficientnon parametric estimation

Mathematics Subject Classification ID

Cites Work

• Unnamed Item
• Compound binomial risk model in a Markovian environment
• Basic properties of strong mixing conditions. A survey and some open questions
• A note on the adjustment coefficient in ruin theory
• Large deviations of uniformly recurrent Markov additive processes
• Asymptotic ruin probabilities for risk processes with dependent increments.
• A new weak dependence condition and applications to moment inequalities
• New dependence coefficients. Examples and applications to statistics
• Ruin theory in the linear model
• Estimating the adjustment coefficient in an ARMA\((p,q)\) risk model
• Large deviations and strong mixing
• A new covariance inequality and applications.
• Weak dependence. With examples and applications.
• Exponential inequalities and estimation of conditional probabilities
• EXPONENTIAL INEQUALITIES AND FUNCTIONAL ESTIMATIONS FOR WEAK DEPENDENT DATA: APPLICATIONS TO DYNAMICAL SYSTEMS
• Discrete-Time Risk Models Based on Time Series for Count Random Variables
• Asymptotic Statistics
• Rough descriptions of ruin for a general class of surplus processes
• Confidence bounds for the adjustment coefficient
• Large deviations for the time of ruin
• Exponential inequalities for VLMC empirical trees

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