1
-
6
of
6
results (0.27 seconds)
Sort By:
-
Calibrating Risk Score Model with Partial Credibility
Calibrating Risk Score Model with Partial Credibility This article describes a method that can be useful when re-fitting a risk score model to a population of only moderate size. Learn how to use ...- Authors: Sheamus Parkes, Bradley Armstrong
- Date: Jul 2015
- Competency: 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: Predictive Analytics and Futurism Newsletter
- Topics: Health & Disability>Health care; Health & Disability>Health insurance; Modeling & Statistical Methods>Bayesian methods; Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Regression analysis; Predictive Analytics
-
Calibrating Risk Score Model with Partial Credibility
Calibrating Risk Score Model with Partial Credibility by Shea Parkes and Brad Armstrong Learn how to use concepts like ridge regression to train a model with partial credibility. Predictive ...- Authors: Sheamus Parkes, Brad Armstrong
- Date: Oct 2015
- 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: Expanding Horizons
- Topics: Health & Disability>Health care; Health & Disability>Health insurance; Health & Disability>Health risks; Modeling & Statistical Methods>Bayesian methods; Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Estimation methods; Predictive Analytics
-
Integrating Claims-Based and Survey-Based Data to Estimate Program Savings
Integrating Claims-Based and Survey-Based Data to Estimate Program Savings An approach to quantify medical intervention savings when medical claims data is not available by leveraging overlapping ...- Authors: Andrew Mackenzie, Ian G Duncan
- Date: Oct 2017
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Health Watch
- Topics: Health & Disability>Health care; Health & Disability>Health care quality; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Regression analysis
-
More Techniques For Better Attributions
More Techniques For Better Attributions By necessity, attributions of financial processes require approximations. Tools used for approximations include Aumann-Shapley, time step, step-through, ...- Authors: Mark Evans
- Date: Feb 2014
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Risks & Rewards
- Topics: Modeling & Statistical Methods>Estimation methods
-
Insurance Regulation: the 1-year 99.5% VaR Fallacy
Insurance Regulation: the 1-year 99.5% VaR Fallacy European insurance regulation pretends to capture and rely on the 1-year 1-in-200 VaR. But there cannot exist any scientific calibration of such ...- Authors: Sylvestre Frezal
- Date: Aug 2017
- Competency: Strategic Insight and Integration>Effective decision-making; Technical Skills & Analytical Problem Solving>Incorporate risk management; 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: Risk Management
- Topics: Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Extreme value theory; Modeling & Statistical Methods>Value at risk - Modeling & Statistical Methods
-
Hidden Markov Models and You: Part 2
Hidden Markov Models and You: Part 2 In this continuation of our July 2013 article we explore an algorithm for evaluating Hidden Markov Models in detail. A preferred method in speech recognition ...- Authors: Brian Grossmiller, Douglas Norris
- Date: Dec 2013
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Markov Chain