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Session 089: Unleashing the Power of Claims Data Through Machine Learning
Session 089: Unleashing the Power of Claims Data Through Machine Learning Claims are insurers deepest and richest transactional data – yet we rarely unleash the full potential of this data. In ...- Authors: Maria Govorun, Dave Keirstead
- Date: Feb 2020
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Life Insurance; Life Insurance>Claims - Life Insurance; Modeling & Statistical Methods
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A Statistical Analysis of Banded Data with Applications
A Statistical Analysis of Banded Data with Applications The goal of this paper is to develop best possible estimates for the higher moments of a distribution of a positive bounded random ...- Authors: Robert Reitano
- Date: Oct 1990
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Life Insurance>Claims - Life Insurance; Modeling & Statistical Methods
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An Extension of the Whittaker-Henderson Method of Graduation
An Extension of the Whittaker-Henderson Method of Graduation The purpose of this paper is to introduce a practical method for interpolation and smoothing and give a number of numerical examples ...- Authors: Walter B Lowrie
- Date: Oct 1982
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Life Insurance>Claims - Life Insurance; Modeling & Statistical Methods>Estimation methods