News

Workshop in Glasgow

posted 21 May 2019, 09:42 by Elias Krainski

There will be a workshop on spatiotemporal modelling using R-INLA from July 3 to July 5 at the Institute of Biodiversity, Animal Health, and Comparative Medicine (IBAHCM) at the University of Glasgow. This workshop will focus on the application of spatiotemporal modelling techniques for ecological and public health data. For details, please contact Dr. Laurie Backer by laurie.baker@glasgow.ac.uk.

A change in the Weibull-likelihood (from version 19.05.17)

posted 17 May 2019, 12:27 by Havard Rue

From (testing) version 19.05.17 there is a change in the internal representation of one of the hyperparameters in the Weibull family likelihoods. The alpha parameter needed internal scaling to avoid some optimisation problems that were experienced. The default prior is for this reason slightly changed, and new user-defined prior has to be given to obtaining the same results as earlier. 

Sorry about that.
H

INLA Course in Brazil

posted 10 May 2019, 07:05 by Elias Krainski   [ updated 10 May 2019, 07:33 ]

Elias will give a 2,5 days course on space-time modelling with INLA in Sorocaba-SP. It will be in May 30 afternoon to morning of June 1, at the LabInfo of CCTS in one of the UFSCar campus. For more details please contact elias@r-inla.org

Lectures on 'Disease risk modeling and visualization using R'

posted 17 Mar 2019, 07:27 by Havard Rue

Two very nice lectures on Disease risk modeling and visualization using R, by
Paula Moraga (Lancaster Univ)from the useR! conference last year: lecture1 and lecture2.


Version_19.02.14

posted 16 Feb 2019, 23:42 by Havard Rue   [ updated 16 Feb 2019, 23:51 ]

There was a build error for the MacOSX binary for this version, which make the package include the binary for the previous version for MacOSX. This is now fixed. If you use MacOSX and experience problems
with using family="gaussian", just uninstall the package and reinstall it. 

H

Advanced mesh creation features and other topics

posted 3 Feb 2019, 07:20 by Finn Lindgren

Some months ago I started a blog series to discuss various topics related to meshes, SPDEs, INLA, and general modelling. So far, I've published a post on creating meshes with spatially varying refinement quality:

Further posts, mainly on Gaussian processes and splines, are in preparation.

Finn L


Joint survival-longitudinal models

posted 29 Jan 2019, 01:03 by Havard Rue

Janet van Niekerk chair our new initiative dealing with joint survival-longitudinal models of various types, 
and the first report is now available on arxiv. More will come...

H

Funded PhD Studentship: "Modelling seismicity as a spatio-temporal point process using inlabru”

posted 13 Jan 2019, 21:43 by Havard Rue

Funded PhD Studentship: "Modelling seismicity as a spatio-temporal point process using inlabru”
Host: University of Edinburgh, GeoSciences & Mathematics

BACKGROUND: This PhD is funded through the ‘RISE’ project as part of
the Horizon 2020 program: Towards operational forecasting of
earthquakes and early warning capacity for more resilient societies.
Operational earthquake forecasting is the development of time evolving
forecasts to quantify and communicate changing seismic hazard, for
example during aftershock sequences. This project will adapt a fully
Bayesian, cutting-edge spatio-temporal modeling approach to model
time-dependent seismicity. This approach, called inlabru
(http://inlabru.org), has been developed primarily on ecological
datasets but it is now ripe for application to earthquake seismicity.
Your work will contribute to the success of this €8M project which
contains 24 collaborating institutions across 12 countries.

Full details: https://www.findaphd.com/phds/project/modelling-seismicity-as-a-spatio-temporal-point-process-using-inlabru/?p105726
For more information contact: mark.naylor@ed.ac.uk
Application Deadline: 8th February

SUPERVISORY TEAM
Dr Mark Naylor is a physicist and statistical seismologist with
expertise in natural hazards, statistical seismology and uncertainty.
Prof Finn Lindgren is Chair of Statistics at the University of
Edinburgh and one of the main theoretical and software developers
behind inlabru.
Prof Ian Main is Chair of seismology and Rock physics at the
University of Edinburgh and has a long-term interest in the population
dynamics of earthquakes and its application in earthquake hazard and
operational forecasting.

REQUIREMENTS: This project would suit a statistician, mathematician,
physicist, geophysicist or similar with good numeracy and
computational skills. You will be interested in the development of
cutting edge spatio-temporal modelling theory and implementation
within software to address a real-world problem. This requires a
balance of mathematical and coding competencies.

Funding Notes
This project has full funding for UK and EU students.

If international students are interested - Edinburgh also has a
competitive fund to cover the difference to make up the international
fees (deadline 23rd January, please contact mark.naylor@ed.ac.uk for
more information).

INLA course in Ilhéus, Brazil

posted 2 Dec 2018, 04:03 by Elias Krainski   [ updated 2 Dec 2018, 10:08 ]

INLA course at Universidade Estadual de Santa Cruz - Ilhéus - Bahia, Brazil,  3-7 December, 2018.

Binaries are now built on Ubuntu-1804

posted 1 Dec 2018, 10:00 by Havard Rue

I have moved over to Ubuntu-1804, from earlier Ubuntu-1604, to build binaries for Linux and Windows. The new testing-version of today 18.12.01, are built on Ubuntu-1804. Please let us know, help@r-inla.org, if there is any issues related to this. MacOSX binaries are built on 10.13.6.

You can still find Ubuntu-1604 builds at http://inla.r-inla-download.org/Linux-builds/  as well as CentOS7 builds

H

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