New discrete heavy tailed distributions as models for insurance data. [PDF]
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
doaj +2 more sources
Heavy-tailed distributions of confirmed COVID-19 cases and deaths in spatiotemporal space. [PDF]
PLoS ONE, 2023 This paper conducts a systematic statistical analysis of the characteristics of the geographical empirical distributions for the numbers of both cumulative and daily confirmed COVID-19 cases and deaths at county, city, and state levels over a time span ...
Peng Liu, Yanyan Zheng
doaj +3 more sources
Optimal Randomness for Stochastic Configuration Network (SCN) with Heavy-Tailed Distributions [PDF]
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
doaj +2 more sources
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
doaj +3 more sources
Taylor's law and heavy-tailed distributions. [PDF]
Proc Natl Acad Sci U S A, 2021 Lindquist WB, Rachev ST.
europepmc +4 more sources
Heavy-Tailed Probability Distributions: Some Examples of Their Appearance
Mathematics, 2023 We provide two examples of the appearance of heavy-tailed distributions in social sciences applications. Among these distributions are the laws of Pareto and Lotka and some new ones.
Lev B. Klebanov +2 more
doaj +3 more sources
COVID-19 X-ray images classification based on enhanced fractional-order cuckoo search optimizer using heavy-tailed distributions [PDF]
Applied Soft Computing Journal, 2021 Dalia Yousri +2 more
exaly +2 more sources
Comparing regression methods with non-Gaussian stable errors [PDF]
AUT Journal of Mathematics and Computing, 2022 Nolan and Ojeda-Revah in [16] proposed a regression model with heavy-tailed stable errors. In this paper, we extend this method for multivariate heavy-tailed errors.
Reza Alizadeh Noughabi +1 more
doaj +1 more source
A New Class of Heavy-Tailed Distributions: Modeling and Simulating Actuarial Measures
Complexity, 2021 Statistical distributions play a prominent role for modeling data in applied fields, particularly in actuarial, financial sciences, and risk management fields.
Jin Zhao +4 more
doaj +1 more source
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
doaj +1 more source