Results 41 to 50 of about 888,711 (295)

The Fundamentals of Heavy Tails

open access: yes, 2022
Heavy tails -extreme events or values more common than expected -emerge everywhere: the economy, natural events, and social and information networks are just a few examples. Yet after decades of progress, they are still treated as mysterious, surprising,
Wierman, A. (Adam)   +2 more
core   +1 more source

Bayesian Robustness Modelling Using the Floor Distribution

open access: yesRevstat Statistical Journal, 2018
In Bayesian analysis, the prior distribution and the likelihood can conflict, in the sense that they can carry diverse information about the parameter of interest. The most common form of conflict is the presence of outliers in the data.
J. A. A. Andrade   +2 more
doaj   +1 more source

A Review of More than One Hundred Pareto-Tail Index Estimators

open access: yesStatistica, 2021
Heavy-tailed distributions are often encountered in economics, finance, biology, telecommunications, geology, etc. The heaviness of a tail is measured by a tail index. Numerous methods for tail index estimation have been proposed. This paper reviews more
Igor Fedotenkov
doaj   +1 more source

Heavy Metals: Might as Well Jump

open access: yesInternational Journal of Financial Studies, 2019
Financial times series, and commodity prices in particular, are known to exhibit fat tails in the distribution of prices. As with many natural resources price series, the arrival of new information can lead to unexpectedly rapid changes—or jump ...
Neil A. Wilmot
doaj   +1 more source

The Heavy Tails of Vulnerability Exploitation [PDF]

open access: yes, 2015
In this paper we analyse the frequency at which vulnerabilities are exploited in the wild by relying on data collected worldwide by Symantec’s sensors. Our analysis comprises 374 exploited vulnerabilities for a total of 75.7 Million recorded attacks spanning three years (2009-2012).
openaire   +1 more source

The Lambert Way to Gaussianize Heavy-Tailed Data with the Inverse of Tukey’s h Transformation as a Special Case

open access: yesThe Scientific World Journal, 2015
I present a parametric, bijective transformation to generate heavy tail versions of arbitrary random variables. The tail behavior of this heavy tail Lambert  W × FX random variable depends on a tail parameter δ≥0: for δ=0, Y≡X, for δ>0 Y has heavier ...
Georg M. Goerg
doaj   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

open access: yesFEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang   +2 more
wiley   +1 more source

Simulating mixture of sub-Gaussian spatial data [PDF]

open access: yesAUT Journal of Mathematics and Computing
Spatial datasets may contain extreme values and exhibit heavy tails. So, the Gaussianity assumption for the corresponding random field is not reasonable. A sub-Gaussian α-stable (SGαS) random field may be more suitable as a model for heavy-tailed spatial
Seyedeh Somayeh Mousavi   +1 more
doaj   +1 more source

Heavy-Tailed Independent Component Analysis [PDF]

open access: yes2015 IEEE 56th Annual Symposium on Foundations of Computer Science, 2015
Independent component analysis (ICA) is the problem of efficiently recovering a matrix $A \in \mathbb{R}^{n\times n}$ from i.i.d. observations of $X=AS$ where $S \in \mathbb{R}^n$ is a random vector with mutually independent coordinates. This problem has been intensively studied, but all existing efficient algorithms with provable guarantees require ...
Joseph Anderson   +3 more
openaire   +4 more sources

seananderson/heavy-tails-response: heavy-tails-response v1.0

open access: yes, 2017
<p>This repository contains data and code for the letter: Anderson SC, Branch TA, Cooper AB, Dulvy NK. 2017. Reply to Youngflesh and Lynch: Migration and population growth rate in animal black-swan events.
Sean Anderson
core   +1 more source

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