Christophe Ley
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Recent Grants
Grant: Close
MATHCODA - Mathematical Tools for Complex Data Structures
Open Date: 2023-01-01
Close Date:
Grant: Close
NextStep-EI - Make counts matter : Next level step monitoring in health, sports and medicine by augmenting gait with meaningful environmental information
Open Date: 2023-01-01
Close Date:
Grant: Close
Deep Probabilistic Program- ming for Protein Structure Prediction
Open Date: 2019-01-01
Close Date:
Grant: Close
Statistical Models for Complex Directional Data
Open Date: 2018-01-01
Close Date: 2021-01-01
Grant: Close
DEMOTOR (Dependence Mo- delling on the Torus)
Open Date: 2017-01-01
Close Date: 2018-01-01
Articles (10)
Summary Power laws and power laws with exponential cut‐off are two distinct families of distributions on the positive real half‐line. In the present paper, we propose a unified treatment of both families by building a family of distributions that interpolates between them, which we call Interpolating Family (IF) of distributions. Our original construction, which relies on techniques from statistical physics, provides a connection for hitherto unrelated distributions like the Pareto and Weibull distributions, and sheds new light on them. The IF also contains several distributions that are neither of power law nor of power law with exponential cut‐off type. We calculate quantile‐based properties, moments and modes for the IF. This allows us to review known properties of famous distributions on and to provide in a single sweep these characteristics for various less known (and new) special cases of our Interpolating Family.
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2022
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2022
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2022
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2022
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2022
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2022
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2022
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2022
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2021
Year:
2020
Collaborators (4)
Thomas Tischer
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Jose Ameijeiras-Alonso
Universidade de Santiago de Compostela
Joke Schuermans
Ghent University
Alessandro BARP
University College London
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