Results 11 to 20 of about 14,911 (257)
The Asymptotics of Moments for the Remaining Time of Heavy-Tail Distributions
Recent mathematical models of reliability computer systems and telecommunication networks are based on distributions with heavy tails. This paper falls into the category of exploring the classical models with heavy tails: Gnedenko–Weibull, Burr ...
Vladimir Rusev, Alexander Skorikov
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QML Estimation of GARCH(1,1) Process [PDF]
In financial time series, the conventional fitting procedure (QMLE) suffers from the outlier problem. Estimation of the parameters in GARCH model, can be adversely affected by a single outlier.simulation studies will not only demonstrate the robustness ...
Mona Samy Elkhouly
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Feller-Pareto and Related Distributions: Numerical Implementation and Actuarial Applications
Actuaries model insurance claim amounts using heavy tailed probability distributions. They routinely need to evaluate quantities related to these distributions such as quantiles in the far right tail, moments or limited moments.
Christophe Dutang +2 more
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On Learning Mixtures of Heavy-Tailed Distributions [PDF]
We consider the problem of learning mixtures of arbitrary symmetric distributions. We formulate sufficient separation conditions and present a learning algorithm with provable guarantees for mixtures of distributions that satisfy these separation conditions. Our bounds are independent of the variances of the distributions; to the best of our knowledge,
Anirban Dasgupta 0001 +3 more
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The Exponential T-X Family of Distributions: Properties and an Application to Insurance Data
Heavy-tailed distributions play a prominent role in actuarial and financial sciences. In this paper, we introduce a family of distributions that we refer to as exponential T-X (ETX) family.
Zubair Ahmad +4 more
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Estimation of heavy tails in optical non-linear processes
In optical non-linear processes, rogue waves can be observed, which can be mathematically described by heavy-tailed distributions. These distributions are special since the probability of registering extremely high intensities is significantly higher ...
Éva Rácz +2 more
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Understanding the structure of cognitive noise.
Human cognition is fundamentally noisy. While routinely regarded as a nuisance in experimental investigation, the few studies investigating properties of cognitive noise have found surprising structure.
Jian-Qiao Zhu +3 more
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Fitting Heavy Tailed Distributions: The poweRlaw Package
Over the last few years, the power law distribution has been used as the data generating mechanism in many disparate fields. However, at times the techniques used to fit the power law distribution have been inappropriate.
Colin S. Gillespie
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Alpha-Stable Autoregressive Modeling of Chua's Circuit in the Presence of Heavy-Tailed Noise
This study presents alpha-stable autoregressive (AR) modeling of the dynamics of Chua's circuit in the presence of heavy-tailed noise. The parameters of the AR time series are estimated using the covariation-based Yule-Walker method, and the parameters ...
Deniz Kutluay, Serpil Yılmaz
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Heavy-tailed distribution of cyber-risks [PDF]
ISSN:1434 ...
Maillart, T., Sornette, Didier
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