Dept. Seminar - John Sall, JMP

Tuesday, April 4, 2017 -
2:10pm to 3:00pm

John Sall

From Big Data to Big Statistics

Now that we have Big Data we have new challenges. When big data is wide, there are too many things to look at. When we screen for just the big effects, we need to worry about selection bias. When we graph significance, we have the change scales. When you have tall data, everything is significant, but many effects are too small to care about. When you have holes and bumps all over your data, you need something automatic to adapt to them. All this needs to be resolved in a Big Statistics analytic work flow Read more about Dept. Seminar - John Sall, JMP

Dept. Seminar - Marina Vannucci

Monday, March 27, 2017 -
4:10pm to 5:00pm

Marina Vannucci
Rice University


Bayesian Variable Selection Methods for Large-scale Genomic and Neuroimaging Data


There is now a huge literature on methods for variable selection that use spike-and-slab priors. Such methods, in particular, have been quite successful for applications in a variety of different fields. 

High-throughput genomics and neuroscience are two of such examples.  Read more about Dept. Seminar - Marina Vannucci

Dept. Seminar - David Miller

Monday, February 13, 2017 -
4:10pm to 5:00pm

David Miller:

Integrated Statistics, Woods Hole, MA,

Centre for Research into Ecological and Environmental Modelling & School of Mathematics and Statistics, University of St Andrews, Scotland

Woods Hole Oceanographic Institution, Woods Hole, MA


Where the whale-things are: Distribution, detectability and availability modelling for cetacean populations. Read more about Dept. Seminar - David Miller