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Deep Learning in Risk Management: A Gentle Introduction
Deep Learning in Risk Management: A Gentle Introduction The article provides a high-level, non-technical, introduction to artificial neural networks (ANNs) and deep learning with an application ...- Authors: Damon Levine
- Date: Sep 2022
- Publication Name: Risk Management
- Topics: Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Forecasting
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Horses for Courses
Horses for Courses Explores the open vs. closed systems debate with regards to actuarial modeling and exposes the over-simplification. Valuable for anyone who uses models. stochastic models; ...- Authors: Van Beach
- Date: Oct 2017
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Leadership>Change management; Results-Oriented Solutions>Actionable recommendations; Strategic Insight and Integration>Big picture view; Strategic Insight and Integration>Strategy development; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: CompAct
- Topics: Modeling & Statistical Methods>Asset modeling; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Dynamic simulation models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Simulation; Modeling & Statistical Methods>Stochastic models; Modeling & Statistical Methods>Value at risk - Modeling & Statistical Methods; Technology & Applications>Analytics and informatics; Technology & Applications>Business intelligence; Technology & Applications>Computer science; Technology & Applications>Data warehousing; Technology & Applications>Software
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The next step forward: Can one actuarial system do it all?
The next step forward: Can one actuarial system do it all? The next evolution of actuarial systems in the U.S. will likely be a move toward a single system solution. This article defines a single ...- Authors: Corey A Carriker, Jason Morton, Ryan Kiefer
- Date: Dec 2015
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Strategic Insight and Integration>Big picture view; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: The Modeling Platform
- Topics: Actuarial Profession>Best practices; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Stochastic models
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Actuarial Model Component Design
Actuarial Model Component Design The article describes the key components of actuarial model, leading practices in designing them, and characteristics of well-built models. Asset modeling; ...- Authors: Bill Cember, Jeffrey Yoon
- Date: Nov 2017
- Competency: Results-Oriented Solutions>Actionable recommendations; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: The Modeling Platform
- Topics: Modeling & Statistical Methods>Asset modeling; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models
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DxCG Comments on A Comparative Analysis of Claims-Based Tools for Health Risk Assessment
DxCG Comments on A Comparative Analysis of Claims-Based Tools for Health Risk Assessment The comments of DxCG about their participation in the SOA study A Comparative Analysis of Claims-Based ...- Authors: Society of Actuaries
- Date: May 2007
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; External Forces & Industry Knowledge>External forces and business performance
- Topics: Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Modeling efficiency
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Apprentissage profond en gestion des risques : Une introduction en douceur
Apprentissage profond en gestion des risques : Une introduction en douceur The article provides a high-level, non-technical, introduction to artificial neural networks (ANNs) and deep learning ...- Authors: Damon Levine
- Date: Sep 2022
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Risk Management
- Topics: Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Forecasting
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Understanding Autoregressive Model for Time Series
Understanding Autoregressive Model for Time Series In this article, we are going to discuss the AR model by making connections to time-dependent ordinary differential equations. Time series; ...- Authors: Dihui Lai, Bingfeng Lu
- Date: Jun 2017
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Predictive Analytics
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Corporate Models and Assumptions
Corporate Models and Assumptions This panel discussion considers some of the approaches, techniques and problems in the development of corporate models and assumptions. The pros and cons of ...- Authors: Allan Affleck, Robert A Lyle, Kihong Sung
- Date: Mar 1977
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Record of the Society of Actuaries
- Topics: Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Stochastic models