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22 September 2025
- 11:0011:00, 22 September 2025 diff hist −143 m BattleActs PowerPack →Step 3: Practice in an Excel/CBT Environment current
18 September 2025
- 11:2911:29, 18 September 2025 diff hist +101 m BattleActs PowerPack →Step 4: Practice Exams
16 September 2025
3 September 2025
- 11:3311:33, 3 September 2025 diff hist +2 m BattleBriefings →About Our Tables current
18 July 2025
- 12:0012:00, 18 July 2025 diff hist +73 BattleActs PowerPack →Step 1: Step-By-Step Solutions
- 11:5511:55, 18 July 2025 diff hist +1,964 m BattleActs PowerPack →Step 3: Practice in an Excel/CBT Environment
- 10:5610:56, 18 July 2025 diff hist +14,421 N Holmes.Appendices Created page with "'''Reading''': Holmes, T. & Casotto, M, “Penalized Regression and Lasso Credibility,” CAS Monograph #13, November 2024. Chapter 8 and Appendices. '''Synopsis''': This is a quick review of Holmes and Casotto's concluding chapter plus the four appendices in the source material. Most of the content has been already covered in the earlier wiki articles. The main focus is on demonstrating penalized regression and lasso credibility may be viewed as valid credibility proce..." current
- 10:5510:55, 18 July 2025 diff hist 0 N File:Holmes Figure C 1.png No edit summary current
- 10:5410:54, 18 July 2025 diff hist +34,025 N Holmes.CaseStudy Created page with "'''Reading''': Holmes, T. & Casotto, M, “Penalized Regression and Lasso Credibility,” CAS Monograph #13, November 2024. Chapter 7. '''Synopsis''': In this article we follow Holmes and Casotto as they embark on a pricing exercise for a fictitious insurer. They construct a synthetic data set with known properties and explore using a GLM and lasso penalized regression to produce a countrywide model. This countrywide model becomes the basis for building state level mode..." current
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- 10:3410:34, 18 July 2025 diff hist +24,329 N Holmes.Diagnostics Created page with "'''Reading''': Holmes, T. & Casotto, M, “Penalized Regression and Lasso Credibility,” CAS Monograph #13, November 2024. Chapter 6. '''Synopsis''': In this article we explore how to review lasso credibility models and briefly contrast this with reviewing a GLM. The focus shifts from variable significance (GLMs) to reviewing the actuarial appropriateness of the chosen complement of credibility and assessing the validity of the selected lambda penalty parameter. We int..." current
- 10:3410:34, 18 July 2025 diff hist 0 N File:Holmes Figure 7 17.png No edit summary current
- 10:3310:33, 18 July 2025 diff hist +21,517 N Holmes.LassoCredibility Created page with "'''Reading''': Holmes, T. & Casotto, M, “Penalized Regression and Lasso Credibility,” CAS Monograph #13, November 2024. Chapter 5. '''Synopsis''': In this reading we introduce the lasso credibility technique which is Holmes and Casotto's key contribution to the field of actuarial science in this monograph. We explore how restricting to ordinal and categorical variables allows us to introduce actuarially appropriate complements of credibility via offset terms in the..." current
- 10:3310:33, 18 July 2025 diff hist 0 N File:Holmes Figure 5 1.png No edit summary current
- 10:3210:32, 18 July 2025 diff hist +19,831 N Holmes.BiasAndVariance Created page with "'''Reading''': Holmes, T. & Casotto, M, “Penalized Regression and Lasso Credibility,” CAS Monograph #13, November 2024. Chapter 4. '''Synopsis''': In this article we examine the bias-variance trade-off and how this problem is approached in a traditional GLM. We see how penalized regression improves on the traditional GLM approach and explore how it can be viewed as a form of credibility weighting. ==Study Tips== This article is heavy on theory and lays the groundwo..." current
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- 10:3110:31, 18 July 2025 diff hist +15,718 N Holmes.Transformations Created page with "'''Reading''': Holmes, T. & Casotto, M, “Penalized Regression and Lasso Credibility,” CAS Monograph #13, November 2024. Chapter 3 Sections 3.4 – 3.5. '''Synopsis''': This is a brief reading which covers how to code various types of data for inclusion in the penalized GLM framework. We explore the impact of penalization on the coefficients for each different type of variable. ==Study Tips== Read this material fairly quickly and do the flashcards from time to time...." current
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- 10:3010:30, 18 July 2025 diff hist +27,944 N Holmes.PenalizedRegression Created page with "'''Reading''': Holmes, T. & Casotto, M, “Penalized Regression and Lasso Credibility,” CAS Monograph #13, November 2024. Chapter 3, Sections 3.1 — 3.3. '''Synopsis''': We introduce the concept of penalized regression which is an extension of the GLM framework that incorporates a measure of the model complexity. We explore three common types of penalty term (ridge, lasso, and elastic net), looking at how the size of the penalty parameter impacts the beta coeffic..." current
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