Discovery Early Career Researcher Award - Grant ID: DE130101670

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE130101670

Funding Status
Closed

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Funded Activity Summary

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.

Funded Activity Details

Start Date: 01-01-2013

End Date: 31-12-2018

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $370,410.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics | Statistics not elsewhere classified | Statistical Theory | Statistics |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Mathematical Sciences

Other Keywords

Applied Statistics | Expanding Knowledge in the Mathematical Sciences | Statistical Theory | Statistics | Statistics not elsewhere classified

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