A Practical Introduction to Bayesian inference using R-INLA
14-15 April, Lund, Sweden.
This FREE 2-days workshop aims to give an introduction to the R package INLA,
which provides a simple way to perform Bayesian inference for latent
Gaussian models (LGMs). LGMs are among the most commonly used classes of
models in statistical applications: including most generalized linear
mixed models, generalised additive models, smoothing spline models,
linear, semiparametric regression, log-Gaussian Cox processes and more.
The concept of LGMs is extremely useful when doing inference as we can
treat the different types of models in an efficient, unified way and use
the same algorithms and software tool. Applications include longitudinal
data analysis, time series analysis, spatial and, spatio-temporal
geostatistical models, and much more.
Two major benefits over traditional Markov chain Monte Carlo algorithms
are that precise estimates are available in seconds or minutes and that
only simple code is required by the user.
The "formula" framework of R is used to handle a wide variety of models in
a familiar and streamlined way which only requires small changes in the
code to add or remove random effects, temporal effects, spatial effects
and so on. Further, the generality and the efficiency of the package make
it possible to compare a much wider variety of models than would usually
To sign up (25 participants):
Hope to see you there
Centre for Mathematical Sciences
Phone: +46 46 2224060
Fax: +46 46 2224623