grant

Scalable Bayesian model selection for massive data sets [ 2013-01-01 - 2018-12-31 ]

Research Grant

[Cite as https://purl.org/au-research/grants/arc/DE130101670]

Researchers: John Ormerod (Discovery Early Career Researcher Award)

Brief description Scalable Bayesian model selection for massive data sets. This project will develop highly innovative, efficient and ultimately effective methodology for Bayesian model selection for large-scale problems which commonly arise in biostatistics and bioinformatics. The resulting methodology will dramatically reduce the duration of analyses in these areas from days or weeks to minutes or hours.

Funding Amount $370,410

Funding Scheme Discovery Early Career Researcher Award

View this grant in the ARC Data Portal

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