Title: Using Animal Instincts to Find Efficient Experimental Designs
Presenter: Professor Weng Kee Wong, Biostatistics, UCLA
http://www.biostat.ucla.edu/Directory/Wwong
Abstract: Using popular models from the biological and pharmaceutical sciences as examples, I demonstrate how particle swarm optimization (PSO) searches for different types of optimal experimental designs in dose response studies, including mini-max types of optimal designs where effective algorithms to find such designs have remained elusive until now.
I first present a brief overview of optimal design methodology. Particle swarm optimization (PSO) is then introduced to find optimal designs for potentially any model and any design criterion. The method works quite magically and frequently finds the optimal design or a nearly optimal design in an efficient way. There is virtually no explicit assumption required for the method to perform well and the user only needs to input a few easy tuning parameters in the PSO algorithm..
When: Wednesday May 28, 2014
6-7 pm seminar
7 pm dinner (optional, but registration required)
Where: Room 7-605, Princess Margaret Hospital, 610 University Avenue
Cost: Seminar – free
Dinner – $15 (students $5)
To attend, please RSVP by or on Monday the 26th of May:
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TABA executive:
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Lorinda Simms
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