Results 1 to 10 of about 43,865 (216)
A new heavy-tailed distribution defined on the bounded interval: the logit slash distribution and its application [PDF]
Journal of Applied Statistics, 2020 Mustafa Cagatay Korkmaz
exaly +2 more sources
AEJ - Alexandria Engineering JournalThe crucial role of heavy-tailed distributions in the analysis of financial and extreme value phenomena is widely acknowledged; however, there is a scarcity of probability distributions to accurately model such data. In the pursuit of analyzing financial
Olayan Albalawi
exaly +3 more sources
Heavy Tailed Distribution of Binary Classification Model [PDF]
Journal of Sciences, Islamic Republic of Iran, 2023 The proposed research incorporates the utilization of a heavy-tailed skewed distribution referred to as the inverse Weibull as a link function in the context of a binary classification model.
Damilare Oladimeji +2 more
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Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks
IEEE Access, 2022 Perhaps the most recent controversial topic in network science research is to determine whether real-world complex networks are scale-free or not. Recently, Broido and Clauset [A.D. Broido, A. Clauset, Nature Communication, 10, 1017 (2019)] asserted that
Tanujit Chakraborty +4 more
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A new heavy tailed distribution with actuarial measures
Journal of Radiation Research and Applied Sciences, 2023 Actuaries are constantly on the lookout for heavy-tailed (HT) distributions in order to model data important to business and actuarial risk problems. In this article, we describe a novel type of heavy-tailed distribution that may be used to model data in
Fathy H. Riad +3 more
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Mathematics, 2023 One-sided heavy tailed distributions have been used in many engineering applications, ranging from teletraffic modelling to financial engineering. In practice, the most interesting heavy tailed distributions are those having a finite mean and a diverging
Marco Cococcioni +2 more
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A Robust SMC-PHD Filter for Multi-Target Tracking with Unknown Heavy-Tailed Measurement Noise
Sensors, 2021 In multi-target tracking, the sequential Monte Carlo probability hypothesis density (SMC-PHD) filter is a practical algorithm. Influenced by outliers under unknown heavy-tailed measurement noise, the SMC-PHD filter suffers severe performance degradation.
Yang Gong, Chen Cui
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New discrete heavy tailed distributions as models for insurance data.
PLoS ONE, 2023 Although many data sets are discrete and heavy tailed (for example, number of claims and claim amounts if recorded as rounded values), not many discrete heavy tailed distributions are available in the literature.
Saralees Nadarajah, Jiahang Lyu
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Inferring heavy tails of flood distributions through hydrograph recession analysis [PDF]
Hydrology and Earth System Sciences, 2023 Floods are often disastrous due to underestimation of the magnitude of rare events. Underestimation commonly happens when the magnitudes of floods follow a heavy-tailed distribution, but this behavior is not recognized and thus neglected for flood hazard
H.-J. Wang +6 more
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Optimal Randomness for Stochastic Configuration Network (SCN) with Heavy-Tailed Distributions
Entropy, 2020 Stochastic Configuration Network (SCN) has a powerful capability for regression and classification analysis. Traditionally, it is quite challenging to correctly determine an appropriate architecture for a neural network so that the trained model can ...
Haoyu Niu, Jiamin Wei, YangQuan Chen
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