R-INLA

Dr. Haziq Jamil Delivers International Guest Lecture at UIN Mataram

1 min read ·
Our research group continues to expand its global footprint and strengthen international academic ties. Dr. Haziq Jamil, a Research Specialist in the BAYESCOMP team at KAUST, was invited to deliver an online international guest lecture at the Universitas Islam Negeri (UIN) Mataram in Indonesia.

The R-INLA Project Launches Revamped Website

1 min read ·
For researchers pushing the boundaries of scalable statistical modeling, the R-INLA framework is a cornerstone of daily computational work. We are excited to share that the official R-INLA project has officially launched a brand-new, modernized website.

Dr. Elias Krainski Leads INLA Course in Brazil

1 min read ·
Demonstrating our research group’s ongoing commitment to international collaboration and knowledge sharing, Dr. Elias Krainski recently concluded a successful five-day online short course on advanced statistical modelling for two premier Brazilian institutions: Universidade Federal de Minas Gerais (UFMG) and Universidade Federal do Paraná (UFPR).

excursions

excursions: A Framework for Probabilistic Excursion Sets and Contour Inference

Mapping risk on networks: A scalable model for spatial point processes earns international recognition

2 min read ·
KAUST Ph.D. student Damilya Saduakhas wins Best Paper Award for a new model mapping accident risk on complex road networks.

Joint longitudinal-survival models using R-INLA

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B9 L2 H1

Joint models have received increasing attention during recent years with extensions into various directions; numerous hazard functions, different association structures, linear and non-linear longitudinal trajectories amongst others. They gained popularity amongst practitioners by the ability to incorporate various data sources. In this talk, we will introduce joint models and provide some conceptual ideas about their use and necessity. Also, we will illustrate how these models can be formulated as Latent Gaussian Models and hence be implemented using R-INLA.