News

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

XIV Applied Mathematics Meeting and XI Statistics Meeting, Cúcuta, Colombia

posted 30 Nov 2018, 06:22 by Havard Rue

From Rafael E. Borges,

``On next december 7th. I Will give a Conference about "Regression Models with INLA" at the XIV Applied Mathematics Meeting and XI Statistics Meeting to be held in Cúcuta, Colombia organized by the Universidad Francisco de Paula Santander. (URL: http://mawencyvergel.net/encuentro/en/index.html)''

H

Preview of new book: Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

posted 22 Sep 2018, 02:02 by Havard Rue

This is to announce a forthcoming new book: Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA, by Elias T. Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren and Håvard Rue, to be published by CRC Press/Taylor and Francis Group, 2019.

For more details, see here, which also includes a link to a (free)  Github-version of the book.

H

Space-time INLA workshop

posted 6 Sep 2018, 03:15 by Haakon Bakka

We would like to announce a workshop on SPDE modeling and INLA, which will take place in the South of France in Avignon from November 7 to 9. The workshop will feature tutorials on INLA/SPDE as well as scientific talks on topics related to the INLA/SPDE universe. It is organized by INRA's RESSTE network ("space-time modeling") and the French EcoStat network ("statistical ecology").

Our invited speakers (some of them also giving practical tutorials) are:

Haakon Bakka, KAUST
David Bolin, Chalmers University
Nicolas Desassis, MinesParisTech
Janine Illian, University of St Andrews
Finn Lindgren, University of Edinburgh


We will soon provide a more detailed program.

We will also schedule a number of contributed talks involving SPDE approaches. If interested, please provide a title and a short summary. We might also open a poster session.

The program of the workshop starts on Wednesday, November 7 at 9am and will finish November 8 at the end of the afternoon. Friday November 9 will be reserved for free discussions, for revisiting some of the concepts discussed during the preceding days, and it will also be possible to work on the participants' data if they wish.

Registration is free but mandatory, within the limit of available places.
In case you would like to participate, please send me a message (thomas POINT opitz AT inra POINT fr) indicating your name, affiliation and status (PhD, postdoc, Professor, ...).


The official language of the workshop will be English (even if you may have seen some announcements in French).

We would be happy to welcome you in Avignon soon!


Best regards

The organizers (Denis Allard, Edith Gabriel, Thomas Opitz)

Forwarded by Haakon Bakka


Want to do a PhD?

posted 1 Sep 2018, 10:05 by Havard Rue

I have an opening for a new PhD student in my group here at KAUST. Application deadline is about mid October.  Contact me if your are interested.

H

Missing links to be expected...

posted 1 Sep 2018, 07:01 by Havard Rue

Due to my move to KAUST last year, I had to close down the www-hosting of some of the old files within this site that were stored at server at NTNU. New files have been added for quite some time with the new links to inla.r-inla-download.org, but some old links still remain.  If you get a missing link of the type

    http://www.math.ntnu.no/inla/r-inla.org/case-studies/muff-etal-2014/muff-etal-2014-data-code.zip

the translation to the new link, should be

    http://inla.r-inla-download.org/r-inla.org/case-studies/muff-etal-2014/muff-etal-2014-data-code.zip

where the required change is shown in boldface. 

All these links have to be edited manually, so I'll do those I find.  If we miss someone, please let us know at help@r-inla.org

H




Alternative Linux builds

posted 23 Jul 2018, 08:04 by Havard Rue   [ updated 24 Jul 2018, 09:42 ]

The R-INLA package comes with Linux binaries built on Ubuntu1604. There are some alternative Linux builds available at 

http://inla.r-inla-download.org/Linux-builds/


You can install one of these, by replacing the directory '64bit' at 

> dirname(INLA:::inla.call.builtin())

which gives for me

[1] "/home/hrue/R/x86_64-redhat-linux-gnu-library/3.5/INLA/bin/linux/64bit"


with the one you download. Alternatively, you can store it somewhere else and set variables 'inla.call' and 'fmesher.call', using 'inla.setOption', to the full path to 'inla.run' and 'fmesher.run' in that directory.

Static builds are available, doing

        INLA:::inla.dynload.workaround()

The static build is without 'rgeneric' support and is also built on Ubuntu1604.


Spatial modelling with R-INLA workshop: 18-20 Sept @Uni-Sheffield

posted 23 Jul 2018, 07:55 by Havard Rue



***********************

DESCRIPTION

Are you interested in learning state-of-the-art methods in spatial modelling?

We are running a 3-day workshop on applications of R-INLA http://www.r-inla.org/ to environmental data. The workshop will take place on 18-20 September 2018 at the University of Sheffield.

The workshop aims to bridge the gap between the environmental science and geostatistical community.

No prior assumed knowledge of GIS or R are required. The workshop is open to academic staff and postgraduate research students on a first-come basis. 50 places are available.


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