{"id":7074,"date":"2025-01-18T11:16:23","date_gmt":"2025-01-18T10:16:23","guid":{"rendered":"https:\/\/actuary.hu\/weblap3\/?p=7074"},"modified":"2025-01-19T21:56:37","modified_gmt":"2025-01-19T20:56:37","slug":"open-floor-on-similarities-of-penalized-regression-and-gbm-modelling-approaches-29-january-2025","status":"publish","type":"post","link":"https:\/\/actuary.hu\/weblap3\/open-floor-on-similarities-of-penalized-regression-and-gbm-modelling-approaches-29-january-2025\/","title":{"rendered":"Open Floor &#8211; On Similarities of Penalized Regression and GBM Modelling Approaches \u2013 29 January 2025"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"7074\" class=\"elementor elementor-7074\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b6bea71 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b6bea71\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c10cff1\" data-id=\"c10cff1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-aea4056 elementor-widget elementor-widget-text-editor\" data-id=\"aea4056\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-size: 16px;\">On behalf of the Board of the Polish Actuarial Association I have the pleasure to invite members of the CEE actuarial associations to our complimentary \u201eOpen Floor\u201d series webinar. This webinar,\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-df503ff elementor-widget elementor-widget-heading\" data-id=\"df503ff\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\u201cOn Similarities of Penalized Regression and GBM Modelling Approaches\u201d<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dfdce53 elementor-widget elementor-widget-text-editor\" data-id=\"dfdce53\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-size: 16px;\">\u00a0will be delivered by Jan K\u00fcthe from Akur8 and is scheduled to take place on 29 January 2025 at 5pm CET (6pm EET).<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-71829a6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"71829a6\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d5878fe\" data-id=\"d5878fe\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-54a70fe elementor-widget elementor-widget-text-editor\" data-id=\"54a70fe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000f2b; font-size: 1.4375rem; font-weight: 400;\">About the webinar:<\/span><\/p><p>Penalized regression is steadily becoming a mainstream application in ratemaking. There is momentum in the insurance space with innovation in research, software and production on penalized techniques that build and innovate the standard GLM models.<\/p><p>Historically, this technique was popularized by the machine learning literature, and how it is taught is not synchronized with how actuaries approach modelling to solve insurance problems. This should not be the case: the penalized framework is versatile and allows to effectively solve many insurance use cases that are currently tackled via established techniques.<\/p><p>First, we will see how, practically and theoretically, Penalized Regressions are effective credibility procedures and allow to blend GLM with credibility to reduce overfitting and improve a model\u2019s ability to generalize. On the other hand, we will display how Penalized regression can be thought of as GBMs, a powerful but yet completely black box modelling technique.<\/p><p>Since Penalized regressions can effectively tie standard Credibility practices and incorporate some of the benefits of GBMs, this presentation aims to contribute to the diffusion of these techniques as solid alternatives to standard GLMs for ratemaking.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5ad61c1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5ad61c1\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d22aa88\" data-id=\"d22aa88\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5352e9b elementor-widget elementor-widget-text-editor\" data-id=\"5352e9b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000f2b; font-size: 1.4375rem; font-weight: 400;\">About the lecturer:<\/span><\/p><p><span style=\"font-size: 16px;\"><strong>Jan K\u00fcthe<\/strong> is an Actuary (DAV) from Germany and works at Akur8 as an Actuarial Data Scientist to help insurance companies unlock the potentials of the twenty-first century. Before that he has been working as an Actuarial Consultant for three years. He holds a Masters degree in Mathematics from the University of Bonn and is an avid reader of the books of Anna Seghers and Dietmar Dath.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-95c0996 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"95c0996\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0309edc\" data-id=\"0309edc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9c01b21 elementor-widget elementor-widget-text-editor\" data-id=\"9c01b21\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000f2b; font-size: 1.4375rem; font-weight: 400;\">Dial-in details\u00a0<\/span><\/p><p>29 January 2025 (Wednesday) at 17.00 CET, Zoom meeting (<a href=\"https:\/\/zoom.us\/j\/97482466161\">https:\/\/zoom.us\/j\/97482466161<\/a> with no password or registration required).<\/p><p>The webinar is expected to last 60-70 minutes, including the Q&amp;A. The webinar is free of charge and is open to anyone. The webinar will be conducted in English.<\/p><p>Full event details can be found at <a href=\"https:\/\/actuary.org.pl\/webinar-openfloor-on-similarities-of-penalized-regression-and-gbm-modelling-approaches-29-january-2025\/\">https:\/\/actuary.org.pl\/webinar-openfloor-on-similarities-of-penalized-regression-and-gbm-modelling-approaches-29-january-2025\/<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>On behalf of the Board of the Polish Actuarial Association I have the pleasure to invite members of the CEE actuarial associations to our complimentary \u201eOpen Floor\u201d series webinar. This webinar,\u00a0 \u201cOn Similarities of Penalized Regression and GBM Modelling Approaches\u201d \u00a0will be delivered by Jan K\u00fcthe from Akur8 and is scheduled to take place on [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3047,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[3,11],"tags":[],"class_list":["post-7074","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-kepzesek"],"_links":{"self":[{"href":"https:\/\/actuary.hu\/weblap3\/wp-json\/wp\/v2\/posts\/7074","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/actuary.hu\/weblap3\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/actuary.hu\/weblap3\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/actuary.hu\/weblap3\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/actuary.hu\/weblap3\/wp-json\/wp\/v2\/comments?post=7074"}],"version-history":[{"count":5,"href":"https:\/\/actuary.hu\/weblap3\/wp-json\/wp\/v2\/posts\/7074\/revisions"}],"predecessor-version":[{"id":7079,"href":"https:\/\/actuary.hu\/weblap3\/wp-json\/wp\/v2\/posts\/7074\/revisions\/7079"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/actuary.hu\/weblap3\/wp-json\/wp\/v2\/media\/3047"}],"wp:attachment":[{"href":"https:\/\/actuary.hu\/weblap3\/wp-json\/wp\/v2\/media?parent=7074"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/actuary.hu\/weblap3\/wp-json\/wp\/v2\/categories?post=7074"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/actuary.hu\/weblap3\/wp-json\/wp\/v2\/tags?post=7074"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}