# Discussion on "Random-projection ensemble classification" by T. Cannings   and R. Samworth

**Authors:** Roberto Casarin, Lorenzo Frattarolo, Luca Rossini

arXiv: 1705.03659 · 2017-05-11

## TL;DR

This discussion highlights the potential applications of the random-projection ensemble classification method in economics and suggests its extension to other classifiers, emphasizing the relevance of copula-based discriminant analysis.

## Contribution

The paper proposes extending the random-projection ensemble classification approach to broader classifiers and discusses its applications in economic contexts like credit scoring.

## Key findings

- Potential for applications in credit scoring and economics
- Extension to more general classifiers possible
- Highlights relevance of copula-based discriminant analysis

## Abstract

Discussion on "Random-projection ensemble classification" by T. Cannings and R. Samworth. We believe that the proposed approach can find many applications in economics such as credit scoring (e.g. Altman (1968)) and can be extended to more general type of classifiers. In this discussion we would like to draw authors attention to the copula-based discriminant analysis (Han et al. (2013) and He et al. (2016)).

## Full text

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## References

6 references — full list in the complete paper: https://tomesphere.com/paper/1705.03659/full.md

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Source: https://tomesphere.com/paper/1705.03659