prof. dr. Christophe Ley
- Work address
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Krijgslaan 281, S9
9000 Gent - Christophe.Ley@UGent.be
- ORCID iD
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0000-0002-2290-8437
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Flexible Models for Complex Data with Applications
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Invited Paper : Data-centric Engineering in modern Science from the perspective of a statistician, an engineer and a software developer
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Science meets Sports : when Statistics are more than Numbers
Christophe Ley (UGent) and Yves Dominicy(2020) -
The Wasserstein Impact Measure (WIM) : a generally applicable, practical tool for quantifying prior impact in Bayesian statistics
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Some simple variance bounds from Stein's method
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- Book Chapter
- open access
On the impact of the choice of the prior in Bayesian statistics
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- Journal Article
- A1
- open access
Bayesian inference for skew-symmetric distributions
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- Journal Article
- A1
- open access
Comparison and classification of flexible distributions for multivariate skew and heavy-tailed data
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A hybrid random forest to predict soccer matches in international tournaments
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- Journal Article
- A1
- open access
Quantification of the impact of priors in Bayesian statistics via Stein's Method