Concordance-based predictive measures in regression models for discrete responses-Reference-Cited by-同舟云学术

Concordance-based predictive measures in regression models for discrete responses

Published:2019-06-03 Issue:10 Volume:2019 Page:824-836
ISSN:0346-1238
Container-title:Scandinavian Actuarial Journal
language:en
Short-container-title:Scandinavian Actuarial Journal

Author:

Denuit Michel¹,Mesfioui Mhamed²,Trufin Julien³

Affiliation:

1. Institute of Statistics, Biostatistics and Actuarial Science, Louvain Institute of Data Analysis and Modeling, UC Louvain, Louvain-la-Neuve, Belgium

2. Département de mathématiques et d'informatique, Université du Québec à Trois-Rivières, Trois-Rivières (Québec), Canada

3. Department of Mathematics, Université Libre de Bruxelles (ULB), Bruxelles, Belgium

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03461238.2019.1624274

Reference6 articles.

1. Constraints on concordance measures in bivariate discrete data

2. Bounds on Concordance-Based Validation Statistics in Regression Models for Binary Responses

3. Concordance measures for multivariate non-continuous random vectors

4. On the properties of some nonparametric concordance measures in the discrete case

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