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DESCRIPTION:Alexandra Schmidt\, PhD\n	Professor of Biostatistics\n	Department
  of Epidemiology\, Biostatistics and Occupational Health | McGill\n\nWhere
 : In-person | 2001 51³Ô¹ÏÍøCollege Avenue\, room 1140\; Zoom\n\nAbstract\n
 \nIn the analysis of most spatiotemporal processes in environmental studie
 s\, observations present distributions that are not normal. Commonly\, som
 e transformation is applied to the data and inference is performed at the 
 transformed scale. Commonly\, the transformation will have an impact on th
 e description of the uncertainty at future instants of time or unobserved 
 locations of interest.\n\nIn this talk I will discuss some of the projects
  I have been involved with in the last five years that relax the assumptio
 n of normality of spatiotemporal processes after some suitable transformat
 ion of the data. In particular\, I will focus on a recent proposal that mo
 dels the variance law of multivariate dynamic linear models. The proposed 
 approach adds flexibility to the usual Multivariate Dynamic Gaussian model
  by defining the process as a scale mixture between a Gaussian and log-Gau
 ssian processes. The scale is represented by a process varying smoothly ov
 er space and time which is allowed to depend on covariates. Analysis of ar
 tificial datasets show that the parameters are identifiable and simpler mo
 dels are well recovered by the general proposed model. The analyses of two
  important environmental processes\, maximum temperature and maximum ozone
 \, illustrate the effectiveness of our proposal in improving the uncertain
 ty quantification in the prediction of spatio-temporal processes.\n\nSpeak
 er Bio\n\nAlex Schmidt is Professor of Biostatistics and holds the endowed
  University Chair in the Department of Epidemiology\, Biostatistics and Oc
 cupational Health (EBOH) at 51³Ô¹ÏÍø. She is an Elected Fellow of
  the American Statistical Association (2020) and an Elected Member of the 
 International Statistical Institute (2010). She was awarded the Distinguis
 hed Achievement Medal (2017) from the American Statistical Association’s S
 ection on Statistics and the Environment and the Abdel-ElShaarawi Young In
 vestigator Award (2008)\, from The International Environmetrics Society.\n
 	Website: http://alex-schmidt.research.mcgill.ca/\n
DTSTART:20230201T203000Z
DTEND:20230201T213000Z
SUMMARY:Accommodating outlying observations in environmental spatio-tempora
 l processes
URL:/epi-biostat-occh/channels/event/accommodating-out
 lying-observations-environmental-spatio-temporal-processes-345697
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