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Big Data in Environmental Sciences: Workshop at UBC May 11–15

PIMS and CANSSI are proud to offer this exciting workshop. From the workshop material, we read:

The extraordinarily broad field of Environmental Science faces an explosion in the amount of data and in the dimension of records captured. We will bring together methodologists building relevant tools in such areas as Laplace approximation techniques in high-dimensional Gaussian process modeling, stochastic PDE approaches to stochastic prediction and interpolation, state space models for big data, data compression, big data visualization tools, parallel processing and data management tools for statistical analysis, and sparsification techniques, with statisticians and other mathematical scientists working directly with research groups in the environmental sciences. We will let real problems motivate methodological development and at the same time help data analysts understand the developing tools.

For the program and abstracts, please see:

Please register — see the PIMS website:

April 28, 2015