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Actuarial Statistics with R: Book Review
Actuarial Statistics with R: Book Review Reviewing a text covering multiple statistical modeling ... Asset Pricing Model;Generalized linear model;Mortality modeling;Predictive modeling;Stochastic models;Monte ...- Authors: Mary Campbell
- Date: Dec 2018
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Regression analysis; Modeling & Statistical Methods>Simulation; Predictive Analytics
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How to Get Started in Predictive Analytics
Actuaries” by Alan Mills. Alan put together a handy table listing common forecasting approaches in actuarial ... life insurance—have discrete u/w classes as opposed to more continuous u/w; • might want to classify ...- Authors: Mary Campbell
- Date: Dec 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: Modeling & Statistical Methods>Data mining; Predictive Analytics
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Abstractions & Working Effectively Alongside Artificial Intelligence
language (a language whose syntax consists of 0’s and 1’s). In software development, one can identify ... the formula for a European call on an underlying S with strike K in the generalized Black-Scholes5 ...- Authors: Dodzi Attimu, Bryon Robidoux
- Date: Dec 2016
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Actuarial Profession>Best practices; Technology & Applications>Computer science; Technology & Applications>Software
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Using Hadoop and Spark for Distributed Predictive Modeling
naïve Bayes, decision trees, k-mean, etc. (see Table 1). SparkNet, the all-star deep-learning algo- rithm ... responsible for frequency models and loss-cost models. Table 1: Comparisons of the machine learning algorithms ...- Authors: Dihui Lai, Qichun Xu
- Date: Jul 2016
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Data mining; Predictive Analytics
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Calibrating Risk Score Model with Partial Credibility
Calibrating Risk Score Model with Partial Credibility This article describes a method that can be ... The specific error metrics are presented in the table below: Model Description Error Metric on Next ...- 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