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Finn Lindgren - inlabru: Extending and simplifying the INLA interface for spatial and non-linear models

Dates:23 February 2022
Times:14:00 - 15:00
What is it:Seminar
Organiser:Department of Mathematics
Who is it for:University staff, External researchers, Current University students
Speaker:Finn Lindgren
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  • Department of Mathematics

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  • In category "Seminar"
  • In group "(Maths) Probability and statistics"
  • By Department of Mathematics

Finn Lindgren, Professor of Statistics in the School of Mathematics at the University of Edinburgh is our speaker for the Statistics seminar series.

Title: inlabru: Extending and simplifying the INLA interface for spatial and non-linear models

Abstract: The Integrated Nested Laplace Approximation (INLA) method was developed to handle latent Gaussian additive regression models. Combined with the stochastic partial differential equation method for constructing computationally efficient representations of Gaussian random fields, this has enabled fast Bayesian analysis of a wide range of models, in particular in environmental sciences requiring spatial and spatio-temporal random field models.

The inlabru package extends this to a more general model class that allows more non-linearity, and a more user-friendly interface for specifying complex models, such as point process models and joint models for multiple response variables and spatial covariates. By using an iterated INLA approach, the computational power of the R-INLA implementation is extended to a wider range of models, allowing both easier access to complex spatial model specification, and new applications in ecology, epidemiology, and geosciences.

In this seminar I will discuss the theoretical and practical considerations of the inlabru method and package interface, in particular for spatial models.

Speaker

Finn Lindgren

Organisation: University of Edinburgh

  • https://www.ed.ac.uk/profile/professor-finn-lindgren

Travel and Contact Information

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Zoom link: https://zoom.us/j/92947173491

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Olatunji Johnson

olatunji.johnson@manchester.ac.uk

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