Guest Editors' Introduction to the Special Issue on Advances in Risk Modelling

Abstract This editorial provides a brief introduction to the contents of and motivation behind the Special Issue on Advances in Risk Modelling for The Canadian Journal of Statistics .

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Publication Details

Journal
Canadian Journal of Statistics
Published
2026-03-01
DOI
https://doi.org/10.1002/cjs.70048
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
0.00
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Guest Editors' Introduction to the Special Issue on Advances in Risk Modelling

Ruodu Wang, Johanna Nešlehová, Rdiger Frey, Natalia Nolde et al.
Canadian Journal of Statistics
Statistical Methods and Bayesian Inference
article

Guest Editors' Introduction to the Special Issue on Advances in Risk Modelling

Ruodu Wang, Johanna Nešlehová, Rdiger Frey, Natalia Nolde, Alexander J. McNeil
article en

Abstract

Abstract This editorial provides a brief introduction to the contents of and motivation behind the Special Issue on Advances in Risk Modelling for The Canadian Journal of Statistics .

Canadian Journal of StatisticsVol. 54(1)
Vienna University of Economics and Business (AT), University of British Columbia (CA), University of Waterloo (CA), McGill University (CA), University of York (GB)
Openalex Percentile: Top 10%
Statistical Methods and Bayesian Inference
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