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Statistics for Analytical Science at Warwick Simon Spencer Bayesian - PowerPoint PPT Presentation

Statistics for Analytical Science at Warwick Simon Spencer Bayesian statistics in epidemiology Statistics for analytical science Jere Koskela Bayesian statistics in genetics Computational methods Bayesian prediction of protein Adam Johansen


  1. Statistics for Analytical Science at Warwick Simon Spencer Bayesian statistics in epidemiology Statistics for analytical science Jere Koskela Bayesian statistics in genetics Computational methods Bayesian prediction of protein Adam Johansen secondary structure from Computation for Bayesian statistics circular dichroism spectra Real-time / on-line inference experimental data Julia Brettschneider 4 alpha helix content beta sheet content coil content High throughput gene expression 2 delta epsilon Spatial measurements (microscopy) 0 −2 Shahin Tavakoli −4 Functional data analysis 180 200 220 240 260 wavelength

  2. Applied Statistics and Risk Unit (AS&RU) Dr Martine Barons, Director Encourage and co-ordinate external partnerships which enable the early applications of theoretical, methodological and algorithmic developments warwick.ac.uk/fac/sci/statistics/asru

  3. Department of Statistics, University of Warwick 50 faculty (approx) plus 12 research fellows Key research initiatives: CRiSM – the Centre for Research in Statistical Methodology Warwick Data Science Institute (WDSI) A lead department spearheading Warwick’s membership of the ↔ 42M Alan Turing Institute Bayes4Health and CoSInES ( ↔ 3M each) programme grants; applications in epidemiology, genetics, engineering, and security Centre for Doctoral Training in Mathematics and Statistics (with the Mathematics Institute).

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