<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GLM on Actuarial Ninja</title><link>https://www.actuarialninja.com/tags/glm/</link><description>Recent content in GLM on Actuarial Ninja</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 31 Dec 2024 07:15:43 +0000</lastBuildDate><atom:link href="https://www.actuarialninja.com/tags/glm/index.xml" rel="self" type="application/rss+xml"/><item><title>Building Simple Predictive Models – A Guide for Actuaries</title><link>https://www.actuarialninja.com/tutorials/building-simple-predictive-models-a-guide-for-actuaries/</link><pubDate>Tue, 31 Dec 2024 07:15:43 +0000</pubDate><guid>https://www.actuarialninja.com/tutorials/building-simple-predictive-models-a-guide-for-actuaries/</guid><description>&lt;h2 id="table-of-contents"&gt;
 Table of Contents
 
 &lt;a class="anchor" href="#table-of-contents"&gt;#&lt;/a&gt;
 
&lt;/h2&gt;
&lt;ol&gt;
&lt;li&gt;&lt;a href="#understanding-predictive-modeling"&gt;Understanding Predictive Modeling in Actuarial Context&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#data-foundation"&gt;The Data Foundation&lt;/a&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="#time-series-data"&gt;Time Series Data&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#cross-sectional-data"&gt;Cross-Sectional Data&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#panel-data"&gt;Panel Data&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;&lt;a href="#data-preparation"&gt;Data Preparation Steps&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#first-model"&gt;Building Your First Predictive Model&lt;/a&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="#model-validation"&gt;Model Validation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;&lt;a href="#advanced-techniques"&gt;Advanced Modeling Techniques&lt;/a&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="#glms"&gt;Generalized Linear Models (GLMs)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#random-forests"&gt;Random Forests for Mortality Prediction&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#ml-approaches"&gt;Machine Learning Approaches&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;&lt;a href="#implementation-tips"&gt;Practical Implementation Tips&lt;/a&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="#model-selection"&gt;Model Selection&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#cross-validation"&gt;Cross-Validation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#model-deployment"&gt;Model Deployment&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;&lt;a href="#best-practices"&gt;Best Practices for Actuarial Modeling&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#case-studies"&gt;Real-World Case Studies&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#regulatory-considerations"&gt;Regulatory and Ethical Considerations&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#conclusion"&gt;Conclusion&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="#additional-resources"&gt;Additional Resources&lt;/a&gt;&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;In today&amp;rsquo;s data-driven insurance industry, predictive modeling has become an essential skill for actuaries. This comprehensive guide will walk you through the fundamentals of building predictive models, with a special focus on applications in actuarial science. Whether you&amp;rsquo;re estimating claim frequencies, predicting mortality rates, or assessing underwriting risks, understanding these modeling techniques will enhance your actuarial practice significantly.&lt;/p&gt;</description></item></channel></rss>