Results 1 to 10 of about 41,744 (148)
Heavy Tailed Distribution of Binary Classification Model [PDF]
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
doaj +2 more sources
Fitting Heavy Tailed Distributions: The poweRlaw Package [PDF]
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
doaj +5 more sources
Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks
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 +1 more source
A new heavy tailed distribution with actuarial measures
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
doaj +1 more source
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
A Robust SMC-PHD Filter for Multi-Target Tracking with Unknown Heavy-Tailed Measurement Noise
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
doaj +1 more source
New discrete heavy tailed distributions as models for insurance data.
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 +1 more source
Heavy-tailed distribution of cyber-risks [PDF]
ISSN:1434 ...
Maillart, T., Sornette, D.
openaire +4 more sources
Heavy‐tailed log hydraulic conductivity distributions imply heavy‐tailed log velocity distributions [PDF]
Equations of contaminant transport describing non‐Gaussian dispersion of solute in heterogeneous porous media have been developed by several authors (e.g., Berkowitz and Scher (1995, 1998), Benson (1998, 2001), Berkowitz et al. (2000), and Baeumer et al. (2005)).
Matthew V. Kohlbecker +2 more
openaire +1 more source
Inferring heavy tails of flood distributions through hydrograph recession analysis [PDF]
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
doaj +1 more source

