Pages that link to "Item:Q850372"
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The following pages link to Sample path large deviations principles for Poisson shot noise processes, and applications (Q850372):
Displaying 17 items.
- Tail behavior of Poisson shot noise processes under heavy-tailed shocks and actuarial applications (Q370897) (← links)
- Poisson convergence, in large deviations, for the superposition of independent point processes (Q839859) (← links)
- A class of risk processes with reserve-dependent premium rate: sample path large deviations and importance sampling (Q877786) (← links)
- Large deviations of Poisson shot noise processes under heavy tail semi-exponential conditions (Q984010) (← links)
- Functional limit theorems for a new class of non-stationary shot noise processes (Q1688617) (← links)
- Asymptotic analysis of Poisson shot noise processes, and applications (Q2066967) (← links)
- Shot-noise queueing models (Q2070672) (← links)
- Deviations and asymptotic behavior of convex and coherent entropic risk measures for compound Poisson process influenced by jump times (Q2407766) (← links)
- Estimations and asymptotic behaviors of coherent entropic risk measure for sums of random variables (Q2454011) (← links)
- Large deviations for the time-integrated negative parts of some processes (Q2475424) (← links)
- Large deviations for multidimensional state-dependent shot-noise processes (Q2794728) (← links)
- Modeling LEAST RECENTLY USED caches with Shot Noise request processes (Q2967905) (← links)
- Sample Path Large Deviations of Poisson Shot Noise with Heavy-Tailed Semiexponential Distributions (Q3094685) (← links)
- Sample path large deviations for the multiplicative Poisson shot noise process with compensation (Q5086636) (← links)
- Functional Limit Theorems for Shot Noise Processes with Weakly Dependent Noises (Q5119414) (← links)
- Large deviations for risk models in which each main claim induces a delayed claim (Q5485916) (← links)
- Sample path moderate deviations for shot noise processes in the high intensity regime (Q6615479) (← links)