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Annual Joint SSA Canberra and R-Ladies Event

May 28, 2019

Andrew Zammit Mangion has been invited to present at the SSA Canberra 2019 meeting schedule.  Below is the title and abstract.


Geostatistics in the fast lane using R-TensorFlow and GPUs


Geostatistics plays a key role in the analysis and prediction of spatial and spatio-temporal phenomena. Spatial/spatio-temporal model fitting generally involves multiple matrix operations that can be slow to execute on a CPU. RStudio’s interface to TensorFlow provides an ideal vehicle for doing spatial model fitting on a GPU in a fraction of the time needed by a CPU.

I will first briefly talk about Google’s TensorFlow and the associated R interface. I will then derive the maximum likelihood estimator for the parameters in a simple spatial model and implement maximum-likelihood estimation in R. Finally, I will show how to implement the same fitting procedure using Google’s TensorFlow and illustrate the speed improvement when using a GPU. Attendees are invited to bring their own laptop with R and TensorFlow installed (see https://tensorflow.rstudio.com/tensorflow/articles/installation.html).


May 28, 2019
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