
Imperial Statistics Section
@imperial_stats
Official Page of the Statistics Section of the Department of Mathematics @imperialcollege
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https://www.imperial.ac.uk/statistics 15-04-2020 08:28:25
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The bigger picture: bringing research to life through #collaboration. Dr Dr Adam M Sykulski reflects on why he took an afternoon out of office Imperial_Maths to visit @Silwood_Park & reasons why researchers at all career stages should engage outside their groups: blogs.imperial.ac.uk/natural-scienc…


Next up: maths ➡️ Dr Thomas Cass: Unparameterised paths: signatures, rough paths & the mathematics of multimodal data ➡️ Efthymios Costa: Clustering mixed-type data: which method to choose? Find out more about research Imperial_Maths Imperial Statistics Section: imperial.ac.uk/mathematics/



Interested in statistical machine learning and population health? Have a look at this postdoc position to work with myself Imperial Statistics Section and collaborate with the Environment and Global Health research group Imperial College London. imperial.ac.uk/jobs/descripti…







Six universities are partnering with BT, Office for National Statistics (ONS), Microsoft and others in a new research programme to develop new ways of modelling and analysis of complex datasets: orlo.uk/Y2z5q University of Bath University of Bristol Imperial College London University of Oxford University of York LSE





The Statistics Section would like to welcome Mario Mario Cortina Borja🇪🇺, Professor of Biostatistics, UCL Great Ormond Street Institute of Child Health as Visiting Professor. Mario is an applied statistician and has worked in many scientific areas but mostly in paediatric epidemiology.

A paper entitled "On inference in high-dimensional regression" by Heather Battey and Nancy Reid Nancy Reid has recently been published in Journal of the Royal Statistical Society, Series B: academic.oup.com/jrsssb/article…

Multinational team, incl Johns Hopkins Bloomberg School of Public Health & Johns Hopkins Medicine Johns Hopkins Pathology & Johns Hopkins Division of Infectious Diseases, suggests in Nature Microbiology study (bit.ly/3RatQRT) that programs to increase #HIV suppression in African men are critical to reduce incidence in women, close incidence gender gap there.


