BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250703T074801EDT-9157ZINJMI@132.216.98.100 DTSTAMP:20250703T114801Z DESCRIPTION:\n Title: Bayesian Variable Selection for Multi-Dimensional Semi parametric Regression Models\n\n\n \n\nAbstract:\n\nHumans are routinely e xposed to mixtures of chemical and other environmental factors\, making th e quantification of health effects associated with environmental mixtures a critical goal for establishing environmental policy sufficiently protect ive of human health. The quantification of the effects of exposure to an e nvironmental mixture poses several statistical challenges. It is often the case that exposure to multiple pollutants interact with each other to aff ect an outcome. Further\, the exposure-response relationship between an ou tcome and some exposures\, such as some metals\, can exhibit complex\, non linear forms\, since some exposures can be beneficial and detrimental at d ifferent ranges of exposure. To estimate the health effects of complex mix tures we propose sparse tensor regression\, which uses tensor products of marginal basis functions to approximate complex functions. We induce spars ity using multivariate spike and slab priors on the number of exposures th at make up the tensor factorization. We allow the number of components req uired to estimate the health effects of multiple pollutants to be unknown and estimate it from the data. The proposed approach is interpretable\, as we can use the posterior probabilities of inclusion to identify pollutant s that interact with each other. We illustrate our approach's ability to e stimate complex functions using simulated data\, and apply our method to a study of the association between exposure to metal mixtures and neurodeve lopment.\n\n \n DTSTART:20171206T190000Z DTEND:20171206T200000Z LOCATION:Room 25\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue des Pins Ouest SUMMARY:Joseph Antonelli\, PhD Postdoctoral Fellow Department of Biostati stics Harvard University URL:/mathstat/channels/event/joseph-antonelli-phd-post doctoral-fellow-department-biostatistics-harvard-university-283109 END:VEVENT END:VCALENDAR