We are happy to announce our fourth online seminar in the Biostatistics Seminar Series on Thursday, June 22nd, 16h-17h
This series of Biostatistics seminars targets a broad (bio)statistical audience, in particular PhD-students. Specialists discuss a topic of their interest, paying particular attention to concepts relevant and accessible to a non-specialist audience as well.
Biomedical Data Sciences
Leiden UMC, the Netherlands
Integrated Nested Laplace Approximation (INLA) – A breakthrough computational innovation for biostatistics, random effect and Bayesian modelling.
INLA (Integrated Nested Laplace Approximation) is a breakthrough computational innovation in Bayesian statistics which can be applied in a specific subclass of models. Fortunately, the subclass is so broad that most models routinely used within biostatistics or psychometry can be computed with the approach, while also allowing for important generalisations which were hitherto difficult to handle in statistical applications generally. INLA is sure to have an impact far beyond Bayesian methodology therefor and set to revolutionize model formulation and analysis in statistics generally. In this talk I will commence with a birds-eye introductory overview of the INLA approach. I will start with some simple examples to introduce the software and then move on to discuss the more advanced key application areas where INLA can be put to good use. If time allows I will discuss one of these in more detail.
Teams link: join meeting
Note: Registration is not required.