Concept
Heavy-tailed distribution
Related publications (138)
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Outliers in discrete choice response data may result from misclassification and misreporting of the response variable and from choice behaviour that is inconsistent with modelling assumptions (e.g. random utility maximisation). In the presence of outliers, ...
2023Regressive Tomography and Direct Regressive Reconstruction: A Research Note
Two related methods for inverting line-integrated measurements are presented in this research paper in the context of the recent deuterium-tritium experiments in the JET tokamak. Unlike traditional methods of tomography, these methods rely on making use of ...
TAYLOR & FRANCIS INC2023Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data
Michael Christoph Gastpar, Aditya Pradeep
One major challenge in distributed learning is to efficiently learn for each client when the data across clients is heterogeneous or non iid (not independent or identically distributed). This provides a significant challenge as the data of the other client ...
2023Current propagation type self-consistent leader-return stroke model
A current propagation type return stroke model which is consistent with the estimated distribution of the charge on the leader channel is described. The model takes into account the dispersion of the return stroke current along the return stroke channel. T ...
2023Hierarchical processing underpins competition in tactile perceptual bistability
Ambiguous sensory information can lead to spontaneous alternations between perceptual states, recently shown to extend to tactile perception. The authors recently proposed a simplified form of tactile rivalry which evokes two competing percepts for a fixed ...
SPRINGER2023swissALPS: a Dataset for Imbalanced Land Cover Mapping in Alpine Regions
Our dataset consists of very high-resolution aerial images (50cm) and a digital elevation model (50cm) that covers approx. 2300 km2 of land above 2000m altitude in the southwestern part of Switzerland. Our land cover labels focus on alpine land cover that ...
IEEE DataPort2023A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods
Michaël Unser, Pakshal Narendra Bohra
We present a statistical framework to benchmark the performance of reconstruction algorithms for linear inverse problems, in particular, neural-network-based methods that require large quantities of training data. We generate synthetic signals as realizati ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023Functional peaks-over-threshold analysis
Anthony Christopher Davison, Raphaël Gérard Théodore Michel Marie de Deloÿe et Fourcade de Fondeville
Peaks-over-threshold analysis using the generalised Pareto distribution is widely applied in modelling tails of univariate random variables, but much information may be lost when complex extreme events are studied using univariate results. In this paper, w ...
WILEY2022