2019•International Linear ColliderRequires access

Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions

Michel M. Denuit, Donatien Hainaut, Julien Trufin

Open publisher page 10 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Key concepts: Generalized linear model, Generalized additive model, Hierarchical generalized linear model, Linear model, Econometrics, Mathematics, Generalized linear mixed model, Credibility

Back to paper search Browse research topics Original source

Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions — Research Paper | ScholarLens