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Archive of Statistical Science News

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UCL Statistical Science to lead consortium in risk and uncertainty for natural hazards

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A consortium led by UCL statisticians has been awarded £2 million by the Natural Environment Research Council, for a four-year programme of research and dissemination activities relating to “Probability, Uncertainty and Risk in the Environment” (PURE). The consortium, which is one of two that have been funded, also includes contributions from the UCL departments of Earth Sciences, Space and Climate Physics and the Institute for Risk and Disaster Reduction; from Imperial College London, Birkbeck College, the universities of Reading, Oxford, Durham and Edinburgh, the British Geological Survey and the Food and Environment Research Agency; and from a wide range of industrial partners.

Dr Ricardo Silva to speak at workshop on networks

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Dr Ricardo Silva has been invited to be a plenary speaker at the Networks: Processes and Causality workshop to be held in Menorca, Spain, in September. The workshop will bring together researchers and graduate students that use machine learning, statistics, graph theory, data mining, information retrieval, causal inference, statistical physics, and sociology, to study networks, processes that take place over them, and links to causality. The workshop is organized by the Max Planck Institute for Intelligent Systems.

Dr Rumana Omar awarded MRC funding for prognostic modelling research

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Dr Rumana Omar in collaboration with Dr Gareth Ambler, Professor Trevor Sweeting and Dr Shaun Seaman (MRC Biostatistics Unit Cambridge) has been awarded £300,445 by the methodology panel of the Medical Research Council to carry out research on prognostic modelling. This research will investigate the use of shrinkage methods to alleviate over-fitting of prognostic models for independent and clustered data with few events. A research associate will be employed on this grant for three years.

Dr Ben Calderhead and Professor Mark Girolami awarded HECToR Distributed CSE funding

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Dr Ben Calderhead, Research Fellow in CoMPLEX, and Professor Mark Girolami have been awarded distributed CSE support from the EPSRC and the Numerical Algorithms Group (NAG) to employ a software developer for one year for an ambitious plan to develop highly parallelised code implementing differential geometric MCMC statistical methodology for cluster computers in UCL, and for HECToR, the national supercomputer.

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