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Session 091: Medicaid Margin Assumptions - Opening the Black Box
Session 091: Medicaid Margin Assumptions - Opening the Black Box In Medicaid rate development, actuaries have not historically shared models that developed the margin (i.e., underwriting gain) ...- Authors: Sabrina Gibson, Michelle L Raleigh, James Randolph Piekut, Jaredd Martin Keith Simons
- Date: May 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Health & Disability>Health insurance; Modeling & Statistical Methods>Forecasting
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Business Analytics in Insurance - Practical case studies and implementation
Business Analytics in Insurance - Practical case studies and implementation Learn about business Analytics in Insurance - Practical case studies and implementation. Health insurance, Health ...- Authors: Kong Kau
- Date: Sep 2019
- Competency: External Forces & Industry Knowledge; Results-Oriented Solutions; Strategic Insight and Integration
- Topics: Life Insurance>Underwriting - Life Insurance; Modeling & Statistical Methods
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Session 058: Does It Really Work? - Validating Predictive Models
Session 058: Does It Really Work? - Validating Predictive Models You’ve built or updated a predictive model. Is it any good? How can you interpret and understand its predictions? How does it ...- Date: Jul 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods>Sensitivity testing; Predictive Analytics>Modeling techniques
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Session 115: Data-Driven Explorations in Healthcare Credibility
Session 115: Data-Driven Explorations in Healthcare Credibility This session will explore the various methods of determining the credibility levels that are given to various size employer groups ...- Authors: Bryan Wayne Kassing , Michelle Elsie Roark, Timothy James Ryan
- Date: May 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Health & Disability>Health insurance; Modeling & Statistical Methods>Credibility theory
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Letter from the Editors
Letter from the Editors An overview of the articles in the November 2019 issue of The Modeling Platform, and a plea for submissions! Please! Send us articles! 11/12/2019 12:00:00 AM ...- Date: Nov 2019
- Competency: Communication; Professional Values
- Publication Name: The Modeling Platform
- Topics: Actuarial Profession>Professional development; Modeling & Statistical Methods
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Cause of Deaths Forecasting Tool
Cause of Deaths Forecasting Tool The Product Development Section, the Financial Reporting Section, the Modeling Section and the Committee on Life Insurance Research are pleased to present new ...- Authors: 000000751731
- Date: Dec 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods
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Underwriting Gain in Managed Medicaid: Starting the Conversation
Underwriting Gain in Managed Medicaid: Starting the Conversation According to the Actuarial Standards Board’s Actuarial Standard of Practice No. 49 (ASOP 49), actuarially sound Medicaid managed ...- Authors: Jaredd Martin Keith Simons, James Randolph Piekut
- Date: Nov 2019
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: Health Watch
- Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Simulation
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Actuarial Applications of Word Embedding Models
Actuarial Applications of Word Embedding Models 3/13/2019 12:00:00 AM ...- Authors: Gee Lee
- Date: Mar 2019
- Publication Name: Actuarial Research Clearing House
- Topics: Modeling & Statistical Methods>Regression analysis
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Session 16: B/I - Multivariate Feature Engineering: Beyond Simple Data Preparation
Session 16: B/I - Multivariate Feature Engineering: Beyond Simple Data Preparation Basic feature engineering uses input data to create dummy variables, log transforms, and other single-value ...- Authors: Jeff T Heaton, Qichun Xu
- Date: Sep 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods>Data mining
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Python Libraries for Mortality Modeling
Python Libraries for Mortality Modeling Python is the leading programming language for data science. Python programming is one skill that actuaries should acquire. It facilitates analytic work, ...- Authors: Carlos Brioso
- Date: Nov 2019
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuary of the Future
- Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Regression analysis; Predictive Analytics; Predictive Analytics>Programming languages & tools