Results 11 to 20 of about 91,294 (309)
Heavy or semi-heavy tail, that is the question. [PDF]
While there has been considerable research on the analysis of extreme values and outliers by using heavy-tailed distributions, little is known about the semi-heavy-tailed behaviors of data when there are a few suspicious outliers. To address the situation where data are skewed possessing semi-heavy tails, we introduce two new skewed distribution ...
Ownuk J, Baghishani H, Nezakati A.
europepmc +3 more sources
Comparative Analysis of Abattoir-Based Measures and On-Farm Pig Welfare Indicators in Italian Fattening Heavy Pigs [PDF]
Animal welfare monitoring is essential in pig production. On-farm animal welfare (AW) assessments may provide a comprehensive overview but are resource-intensive.
Lucia Scuri +11 more
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Understanding Heavy Tails in a Bounded World or, is a Truncated Heavy Tail Heavy or Not? [PDF]
We address the important question of the extent to which random variables and vectors with truncated power tails retain the characteristic features of random variables and vectors with power tails. We define two truncation regimes, soft truncation regime and hard truncation regime, and show that, in the soft truncation regime, truncated power tails ...
Chakrabarty, Arijit +1 more
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Tournament rewards and heavy tails [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mikhail Drugov, Dmitry Ryvkin
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Omey, Edward +2 more
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Minimum of heavy-tailed random variables is not heavy tailed
<abstract><p>By constructing an appropriate example, we show that the class of heavy-tailed distributions is not closed under minimum. We provide two independent heavy-tailed random variables, such that their minimum is not heavy tailed. In addition, we establish a few properties of the distributions considered in the example.</p></
Leipus, Remigijus +2 more
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Outliers and the Ostensibly Heavy Tails [PDF]
The aim of the paper is to show that the presence of one possible type of outliers is not connected to that of heavy tails of the distribution. In contrary, typical situation for outliers appearance is the case of compact supported distributions.
Klebanov, L., Volchenkova, I.
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The present paper is concerned with the stationary workload of queues with heavy-tailed (regularly varying) characteristics. We adopt a transform perspective to illuminate a close connection between the tail asymptotics and heavy-traffic limit in infinite-variance scenarios. This serves as a tribute to some of the pioneering results of J.W.
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The stochastic multi-armed bandit problem is well understood when the reward distributions are sub-Gaussian. In this paper we examine the bandit problem under the weaker assumption that the distributions have moments of order 1+ε, for some $ε\in (0,1]$.
S. Bubeck, N. Cesa-Bianchi, G. Lugosi
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Minimax Policy for Heavy-tailed Bandits [PDF]
We study the stochastic Multi-Armed Bandit (MAB) problem under worst-case regret and heavy-tailed reward distribution. We modify the minimax policy MOSS for the sub-Gaussian reward distribution by using saturated empirical mean to design a new algorithm called Robust MOSS.
Lai Wei 0002, Vaibhav Srivastava
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