Bayesian Computing with INLA & Spatial Modeling Using SPDEs
Monday, April 8, 2013 at 10:30 AM - Tuesday, April 9, 2013 at 5:00 PM (CDT)
Hosted by the Division of Biostatistics in the University of Minnesota's School of Public Health, this two-part short course explores:
Dr. Daniel Simpson and Prof. Havard Rue, Department of Mathematical Sciences, Norwegian University of Science and Technology
Where and when:
Overview Lecture: Monday, April 8, 10:30-11:30 am, Moos Tower 1-451, East Bank
Part I (INLA): Monday, April 8, 1-5 pm, Moos Tower 1-451, East Bank
Part II (SPDEs): Tuesday April 9, 12:30-4:30 pm, Moos Tower 2-690, East Bank
Part I is geared for anyone with past or concurrent basic training in Bayesian hierarchical modeling and MCMC (say, via the BUGS language) who wants to learn about R-INLA, a fast, R- based, non-MCMC alternative to BUGS. Part II appeals to the same audience, but especially those interested in spatial and spatiotemporal data.
This event is co-sponsored by the U-Spatial Spatial Speaker Series.
The University of Minnesota's School of Public Health is among the top public health schools in the U.S., a distinction that reflects our firm commitment to academic and research excellence.
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