{"62343":{"#nid":"62343","#data":{"type":"event","title":"Functional Regression Models","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETITLE:\u003C\/strong\u003E Functional Regression Models\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESPEAKER:\u003C\/strong\u003E\u0026nbsp; Hans-Georg Mueller\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EABSTRACT:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EFunctional regression has emerged as a useful approach for the analysis of\ncomplex data that combine functional or longitudinal predictors with scalar\nor functional responses. A major emphasis has been the functional linear\nregression model, which allows to implement dimension reduction in a simple\nand straightforward way but may be too restrictive. We will discuss flexible\nextensions of this model. These include functional quadratic, polynomial and\n\u003Cbr \/\u003Eadditive models. Of special interest is differentiation with respect to a\nfunctional argument, for which additive models are particularly well suited.\nAnother extension are local models, where the focus is on the dependency of\na Gaussian process or its derivatives at a given time on the value of a\npredictor process at the same or a different time. The methods will be\nillustrated with densely as well as sparsely sampled functional data. This\ntalk is based on joint work with Wenjing Yang and Fang Yao.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Functional Regression Models"}],"uid":"27187","created_gmt":"2010-10-26 09:14:13","changed_gmt":"2016-10-08 01:53:20","author":"Anita Race","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2010-10-28T12:00:00-04:00","event_time_end":"2010-10-28T13:00:00-04:00","event_time_end_last":"2010-10-28T13:00:00-04:00","gmt_time_start":"2010-10-28 16:00:00","gmt_time_end":"2010-10-28 17:00:00","gmt_time_end_last":"2010-10-28 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}