Zobrazeno 1 - 10
of 6 270
pro vyhledávání: '"heavy-tailed"'
Publikováno v:
Journal of Mathematics in Industry, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract In this paper we propose an algorithm for testing whether the independent observations come from finite-variance distribution. The preliminary knowledge about the data properties may be crucial for its further analysis and selection of the a
Externí odkaz:
https://doaj.org/article/7092ed9c1ddb4821871d2f4fc02990f0
Autor:
René Lehmann, Bodo Vogt
Publikováno v:
Brain Informatics, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Bipolar psychometric scales data are widely used in psychologic healthcare. Adequate psychological profiling benefits patients and saves time and costs. Grant funding depends on the quality of psychotherapeutic measures. Bipolar Likert scale
Externí odkaz:
https://doaj.org/article/582bd3c4f67a4972a990c9e7d2fd0202
Autor:
Yuan Liu, Olayan Albalawi
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 486-497 (2024)
The 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 finan
Externí odkaz:
https://doaj.org/article/10f18ee5c0f5433cbb0fb1040d7709d3
Publikováno v:
AIMS Mathematics, Vol 9, Iss 7, Pp 19569-19596 (2024)
A new test to detect the change-point in the quasi-autocorrelation coefficient (QAC) structure of a simple linear model with heavy-tailed series was developed. It is more general than previous approaches to the change-point problem in that it allows
Externí odkaz:
https://doaj.org/article/ad8b3119549848fc8b1fd36b01af817f
Autor:
Ze Li, Weihong Zhou, Fatimah A. Almulhim, Jin-Taek Seong, Manahil Sid Ahmed Mustafa, Hassan M. Aljohani
Publikováno v:
Alexandria Engineering Journal, Vol 95, Iss , Pp 174-188 (2024)
In today's modern world, marketing is a fruitful source to grow a business by reaching a larger audience. This paper considers a popular social media source called LinkedIn.com as a way of marketing or reaching a larger audience. We consider a regres
Externí odkaz:
https://doaj.org/article/bea7e6a2decb42599792e7003611a687
Publikováno v:
AIMS Mathematics, Vol 9, Iss 4, Pp 9785-9807 (2024)
This article focuses on analyzing the finite-time ruin probability within a specific class of discrete risk models. These models incorporate dependent claims, an interest rate component, and stationary noise terms exhibiting semi-heavy-tailed behavio
Externí odkaz:
https://doaj.org/article/c260763326c048ee8abb2f2503c42500
Autor:
Hyeon-Jun Park, Kyungjae Lee
Publikováno v:
IEEE Access, Vol 12, Pp 107800-107817 (2024)
We consider finite-horizon episodic reinforcement learning (RL) under heavy-tailed noises, where the p-th moment is bounded for any $p \in (1,2$ ]. In this setting, existing RL algorithms are limited by their requirement for prior knowledge about the
Externí odkaz:
https://doaj.org/article/2ff2b93430884aa1b59dd3b842973595
Autor:
Lai Wei, Vaibhav Srivastava
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 128-142 (2024)
We study the nonstationary stochastic Multi-Armed Bandit (MAB) problem in which the distributions of rewards associated with arms are assumed to be time-varying and the total variation in the expected rewards is subject to a variation budget. The reg
Externí odkaz:
https://doaj.org/article/948d0912f99e48b4bd64204b4de428e2
Publikováno v:
AppliedMath, Vol 4, Iss 1, Pp 20-54 (2023)
Modeling the vulnerabilities lifecycle and exploitation frequency are at the core of security of networks evaluation. Pareto, Weibull, and log-normal models have been widely used to model the exploit and patch availability dates, the time to compromi
Externí odkaz:
https://doaj.org/article/8702053380c34f3eb3476a4dfa604493