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DTSTART:20190319T170000
RDATE:20190331T020000
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DTSTART:20191027T010000
RDATE:20200329T020000
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UID:d0bde035f784711888aaf327c48941dd
CATEGORIES:Featured events, RSS local group meetings
CREATED:20200311T161103
SUMMARY:POSTPONED: RGlasgow - March meetup with RSS Environmental Statistics Section
LOCATION:Social and Public Health Sciences Unit, 200 Renfield St, Glasgow G2 3AX
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:\n\nGergana Daskalova: "How to teach coding to increase diversity"\n\n\nGer
gana will discuss what they have learned across four years of Coding Club a
nd introduce some of the approaches being taken in the new course to make d
ata science skills accessible to broad audiences, as well as sharing some p
ractical tips for creating online teaching materials. To illustrate those c
oncepts, data visualisation examples will be presented on what Gergana call
s the beautification journey.\n\n\nGergana is a PhD student in Global Chang
e Ecology at the University of Edinburgh with research interests in biodive
rsity change, agro-ecology and quantitative syntheses. Gergana has led over
40 workshops on programming and statistics using R, covering themes such a
s working with big data, data visualisation, version control and hierarchic
al modelling.\n\n\n \n\n\nDaniela Castro Camilo: "R-INLA: Bayesian inf
erence for everyone"\n\nOver the last decade, Bayesian inference has become
widely used in many scientific fields, mainly due to significant advances
in computational statistics. One of several recent developments in Bayesian
statistics is the integrated nested Laplace approximation (INLA), efficien
tly implemented in the R-INLA package, which allows fast and accurate infer
ence in complex models.\nLeveraging on R-INLA's fast computation capacities
, we will see examples of how to fit well-known regression models, as well
as more sophisticated temporal and spatial models. I will provide an extens
ive list with recent examples of applications using the R-INLA package, tha
t will hopefully give a feeling on INLA's versatility and potential use. R
codes to reproduce the example will be available after the talk.\n\nDaniela
is a Lecturer in Statistics at the University of Glasgow. Her research foc
uses on the theory and applications of multivariate and spatial extremes, w
ith a particular interest in environmental, geological, and ecological appl
ications.\n\nCome along to hear our two speakers. Afterwards we'll head to
the Howlin' Wolf for post-meetup catchup!\n\n\n\n\n\n \n
X-EXTRAINFO:Please arrive between 1715 and 1730, there will be a rep at the main entran
ce where you sign in, and one on the top floor to let you in the Unit. Due
to the security at the building we can't guarantee anyone arriving after 17
30 will be able to gain access to the meetup, but if you're running late me
ssage Fiona Christie and you should be rescued.
DTSTAMP:20200525T102655Z
DTSTART;TZID=Europe/London:20200319T170000
DTEND;TZID=Europe/London:20200319T193000
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