81
-
90
of
316
results (0.45 seconds)
Sort By:
-
The Perils and Prospects of Predictive Analytics
The Perils and Prospects of Predictive Analytics Many life and health insurers are beginning to use Predictive Analytics (PA) for a variety of purposes. This article addresses the unique ...- Authors: Mark W Griffin
- Date: Dec 2018
- Publication Name: Risk Management
- Topics: Predictive Analytics
-
Meeting the Challenges of the Changing Actuarial Role: P/C
Meeting the Challenges of the Changing Actuarial Role: P/C This addresses the changing role for property-casualty actuaries as companies are looking toward actuaries to play a bigger role in ...- Authors: Ian P Sterling, James C Votta, Anthony N Katz
- Date: Nov 2016
- Competency: Strategic Insight and Integration
- Publication Name: Reinsurance News
- Topics: Predictive Analytics
-
Exploiting While Exploring: An Introduction to Bayesian Optimization
Exploiting While Exploring: An Introduction to Bayesian Optimization An introduction to the methods and parameters for Bayesian Hyperparameter Optimization in a Life Insurance context. By Nick ...- Authors: Nicholas Hanewinckel
- Date: Jun 2021
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Life Insurance; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools
-
Surrogate Models: A Comfortable Middle Ground?
Surrogate Models: A Comfortable Middle Ground? In this article we examine the benefits and drawbacks of using a global surrogate of a black-box model. Are surrogates a comfortable middle ground ...- Authors: Harrison Jones
- Date: Aug 2021
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Regression analysis; Predictive Analytics>Modeling techniques
-
Session 08: Policyholder Behavior Modeling and the Risks of Over-fitting Data
Session 08: Policyholder Behavior Modeling and the Risks of Over-fitting Data The presenters will explore policyholder experience data for long-term products, risks of over-fitting data in ...- Authors: Chanseo Lee, Timothy S Paris
- Date: May 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Predictive Analytics
-
Mining Electronic Health Records to Achieve the Triple Aim
Mining Electronic Health Records to Achieve the Triple Aim Mining Electronic Health Records using a Natural Language Processor. Health factors;Predictive modeling 6442475086 3/1/2017 12:00:00 AM ...- Authors: Lillian Dittrick
- Date: Mar 2017
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Health Watch
- Topics: Health & Disability>Health insurance; Predictive Analytics
-
MaD’s 2020 Vision and Beyond: Content and Distribution
MaD’s 2020 Vision and Beyond: Content and Distribution 5/1/2020 12:00:00 AM ...- Authors: Nickolas Ortner, Michael Prendes
- Date: May 2020
- Competency: Communication
- Publication Name: News Direct
- Topics: Actuarial Profession; Predictive Analytics
-
Quantile Regression - A New Actuarial Approach to Claims Estimation
Quantile Regression - A New Actuarial Approach to Claims Estimation Health claims are not normally distributed. Claims Forecasting can be improved by understanding the entire distribution of ...- Authors: Robert Jason Reed (Jason)
- Date: Apr 2020
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Health Watch
- Topics: Health & Disability; Predictive Analytics; Health & Disability>Claims - Health & Disability; Predictive Analytics>Modeling techniques
-
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
-
How Significant Is Statistical Significance?
How Significant Is Statistical Significance? In How Significant Is Statistical Significance? The author discusses the p-value that is often used to determine significance. Sometimes we place too ...- Authors: Rosmery Cruz
- Date: Aug 2019
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics