{"id":45930,"date":"2026-09-08T13:11:01","date_gmt":"2026-09-08T17:11:01","guid":{"rendered":"https:\/\/www.fsa.ulaval.ca\/evenements\/francesca-chiaromonte\/"},"modified":"2026-10-01T14:25:30","modified_gmt":"2026-10-01T18:25:30","slug":"francesca-chiaromonte","status":"publish","type":"evenements","link":"https:\/\/www.fsa.ulaval.ca\/en\/events\/francesca-chiaromonte\/","title":{"rendered":"Leveraging Functional Data Analysis in \u201cOmics\u201d Studies of Childhood Obesity."},"content":{"rendered":"\n<p>Functional Data Analysis (FDA) is a branch of statistics that efficiently exploits measurements collected across continuous domains. This type of complex, structured data is often at the heart of contemporary \u201cOmics\u201d applications, which may involve, e.g., longitudinal measurements, measurements collected over space, measurements mapped along genome sequences, etc. In this lecture, I will provide a short, intuitive primer on FDA and illustrate its use in studies of the \u201cOmics\u201d correlates of childhood obesity.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Functional Data Analysis (FDA) is a branch of statistics that efficiently exploits measurements collected across continuous domains. This type of complex, structured data is often at the heart of contemporary \u201cOmics\u201d applications, which may involve, e.g., longitudinal measurements, measurements collected over space, measurements mapped along genome sequences, etc. In this lecture, I will provide a [&hellip;]<\/p>\n","protected":false},"featured_media":0,"parent":0,"menu_order":0,"template":"","evenements_category":[505,271],"evenements_types":[],"class_list":["post-45930","evenements","type-evenements","status-publish","hentry","evenements_category-chaire-de-recherche-en-apprentissage-statitique","evenements_category-a_la_une-en"],"acf":[],"yoast_head":"<title>Leveraging Functional Data Analysis in \u201cOmics\u201d Studies of Childhood Obesity. &#8211; FSA ULaval<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"https:\/\/www.fsa.ulaval.ca\/en\/events\/francesca-chiaromonte\/\" \/>\r\n<meta property=\"og:locale\" content=\"en_US\" \/>\r\n<meta property=\"og:type\" content=\"article\" \/>\r\n<meta property=\"og:title\" content=\"Leveraging Functional Data Analysis in \u201cOmics\u201d Studies of Childhood Obesity.\" \/>\r\n<meta property=\"og:description\" content=\"Functional Data Analysis (FDA) is a branch of statistics that efficiently exploits measurements collected across continuous domains. 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