[ABE-L] CALL FOR PAPERS: International Workshop on Statistical Modelling, Durham, 15-19/07/2024

[Enrico Colosimo]

>
> CALL FOR PAPERS: International Workshop on Statistical Modelling, Durham,
> 15-19/07/2024
> We are delighted to announce the 38th International Workshop on
> Statistical Modelling (IWSM38),
> which will take place in Durham (England, UK), from 15th to 19th July 2024:
> https://maths.dur.ac.uk/iwsm2024/.
>


> We are seeking novel and original contributions to the wider field of
> Statistical Modelling. Papers that
> provide advances in the development of statistical models which are well
> motivated by a contemporary
> data scenario or application problem are particularly welcome. This
> includes contributions to
> estimation, inference and computation for such modelling problems. Papers
> focusing on applications
> with important substantive implications as well as methodological
> developments are welcome, including
> new insights in Data Science. Submissions by students and young
> researchers are especially encouraged.
> Deadline for 4-page short paper submission: February 20, 2024. Short paper
> submissions via the
> conference webpage will open over the course of December 2023.
> Invited (keynote) speakers at the conference will be
>


> • Robin Henderson, Newcastle University, UK
> • Maria Kateri, RWTH Aachen, Germany
> • Dimitris Rizopoulos, Erasmus University Rotterdam, Netherlands
> • Fiona Steele, London School of Economics, UK
> • Ernst Wit, Università della Svizzera italiana in Lugano, Switzerland
> Registration for the conference will open in early 2024 via the conference
> webpage
> (https://maths.dur.ac.uk/iwsm2024/), with an early bird deadline of April
> 22, 2024.
> The conference will be preceded by a short course (on Sunday, 14th of
> July) to be delivered by Emanuele
> Giorgi, from Lancaster University, with the title “An introduction to
> model-based geostatistics for global
> public health”. The short course will provide an overview of the
> geostatistical methods for public health
> problems in low resource settings. The topics covered will include the use
> of Gaussian processes to
> model spatial correlation; applications to mapping of tropical diseases;
> and introduction to handling and
> visualisation of spatial data in R.
> We are looking forward to seeing you in Durham next summer!
> Jochen Einbeck
> Reza Drikvandi
> Hyeyoung Maeng
> Konstantinos Perrakis
>
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