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Advanced Analytics in Insurance: Utilizing Building Footprints Derived from Machine Learning and High-Resolution Imagery
This study explores the use of geospatial imagery and high-resolution image technology in the property and casualty (P&C) insurance industry, focusing on improving risk determination through ...- Date: Apr 2025
- Competency: External Forces & Industry Knowledge
- Topics: Modeling & Statistical Methods; Technology & Applications
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Expanding Health Insurance Access for Substandard Populations in China: Product Design, Morbidity, and Pricing
This report analyzes insurance product design, morbidity trends, and pricing models for individuals with pre-existing illnesses in China to improve coverage for substandard health populations.- Date: Aug 2025
- Competency: External Forces & Industry Knowledge; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
- Topics: Health & Disability; Modeling & Statistical Methods; Public Policy
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US Individual Life Mortality Improvement Models and Analysis Tools
This report outlines a methodology for estimating mortality improvement factors based on data from insured lives. The report details challenges, methodology, results, comparisons with population ...- Date: May 2024
- Competency: External Forces & Industry Knowledge
- Topics: Actuarial Profession; Demography; Modeling & Statistical Methods
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Cause of Deaths Forecasting Tool User Guide
Cause of Deaths Forecasting Tool User Guide The Product Development Section, the Financial Reporting Section, the Modeling Section and the Committee on Life Insurance Research are pleased to ...- Authors: 000000751731
- Date: Dec 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods
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Actuarial Model Governance: A Survey of Actuarial Modeling Governance and the Industry Evolution Report
Actuarial Model Governance: A Survey of Actuarial Modeling Governance and the Industry Evolution Report This research report is a summary of an online survey and follow-up discussions with ...- Authors: 0483 - Deloitte Consulting LLP
- Date: Feb 2017
- Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods
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Applying Fuzzy Logic to Risk Assessment and Decision-Making
Applying Fuzzy Logic to Risk Assessment and Decision-Making This paper explores areas where fuzzy logic models may be applied to improve risk assessment and risk decision-making. It discusses the ...- Authors: Kailan Shang
- Date: Nov 2013
- Competency: External Forces & Industry Knowledge
- Topics: Enterprise Risk Management; Modeling & Statistical Methods
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Procedure for Simulation with Constructed Copulas
Procedure for Simulation with Constructed Copulas This report describes a simple way to construct a bivariate copula with specified marginals and partially specified dependence. For example, the ...- Authors: Donald Behan, Samuel Cox
- Date: May 2007
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods
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A Fuzzy Random Variable Primer
A Fuzzy Random Variable Primer A fuzzy random variable [FRV] has been conceptualized as a vague perception of a crisp but unobservable random variable [RV] and also as a random fuzzy set. Since ...- Authors: Arnold Shapiro
- Date: Jan 2008
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Topics: Modeling & Statistical Methods
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Discounted Claims In A Renewal Risk Model
Discounted Claims In A Renewal Risk Model In the classical risk theoretic model with Poisson claim arrival and exponential claims, consider the discounted value of claims nos. 3, 6, 9, and so on.- Authors: Daniel Dufresne
- Date: Nov 2008
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods
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Modeling Multivariate Risk - To Copula, or Not To Copula: That is the Question
Modeling Multivariate Risk - To Copula, or Not To Copula: That is the Question This presentation discussed the Copula Methodology, which is the most popular methodology in multivariate modeling ...- Authors: Xiaodong Sheldon Lin
- Date: Jan 2012
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Finance & Investments; Modeling & Statistical Methods