R-INLA @bayescomp_inla
Making Bayesian computation fast since 2005. More at https://t.co/yyhvSYv7Om and https://t.co/wVug0jXVQ4 r-inla.org KAUST Joined March 2023-
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Very Proud of Janet
Very Proud of Janet
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INLA: past, present, and future. 21-23 May 2025 at the University of Glasgow. Registration at: dcastrocamilo.github.io/INLA-PastPrese…
R-INLA retweeted
It was a pleasure to host Dr. Rustand in Helsinki last week! He delivered an insightful talk on joint modelling using #INLA and #INLAjoint. We also had the opportunity to dive deeper into our collaboration project, making significant progress together. #PhD #DataScience #Cancer
R-INLA retweeted
We are thrilled to welcome Dr. Denis Rustand, a postdoctoral fellow at @bayescomp_inla @cemseKAUST, who will visit our group next month!🎉 Besides strengthening our research collaboration, Denis will deliver an exciting talk on #INLAjoint (1/2) #DataScience #INLA #JointModels
R-INLA retweeted
Congratulations to Saudi Arabia on a monumental achievement—hosting the #FIFAWorldCup2034! 🏆⚽ This moment celebrates the Kingdom’s rapid transformation, rich heritage, and vibrant future.🇸🇦 #WelcomeToSaudi34 at #KAUST, the beacon of innovation!
R-INLA retweeted
The #KAUST 2024 Workshop on #Statistics kicks off with insightful talks from leading experts on the latest advancements in statistics for health, environmental research, sustainability efforts and more. Join the conversation live on Zoom: kaust.zoom.us/webinar/regist… View the event…
Janet and Denis showcasing recent advances in joint survival models at WASA in Brasil. Thanks for the invitation. Check more about the library cran.r-project.org/web/packages/I…
Congrats to Dr. Shourya for successfully defending his PhD thesis. Shourya has contributed to the improvement of #RINLA by proposing a variational correction to the marginal variance and skewness. We' re very proud of you and wish you luck. We also thank the committee member.
R-INLA retweeted
Interested in occupancy models? Now you can fit them with INLA (@bayescomp_inla ) . Read our paper doi.org/10.1111/2041-2… and check out the tutorial ecol-stats.github.io/Occupancy-Mode….
R-INLA retweeted
On this #SaudiNationalDay, we proudly celebrate the spirit of innovation and excellence at #KAUST! As we drive forward #SaudiVision2030, we remain committed to pushing the boundaries of knowledge and creating a brighter future for Saudi Arabia. 🇸🇦 #SaudiNationalDay94
Always making us proud #RINLA
Finally. It's a must. Huge work by @FinnLindgren and colleagues. congrats
Finally. It's a must. Huge work by @FinnLindgren and colleagues. congrats
We will be presenting some of our work at #ISBA2024 . You don't want to miss it: 1. Cross Validation for LGCP, 2. Correcting the Laplace Method with Variational Bayes: Marginal Skewness 3. Scalable Bayesian Inference using Integrated Nested Laplace Approximations
Huge Congrats to our researchers for proudly representing the @bayescomp_inla team at the @CDCgov and showcasing some of the capabilities of R-INLA.
R-INLA retweeted
It is my pleasure to announce the 2nd Bayes-Duality workshop, focusing on the design of AI that learns adaptively, robustly, and coninually, like humans. bayesduality.github.io/workshop_2024.… You can watch all 26 talks through zoom livestream (June 12-21). Register at …c59ed978213830355fc8978.doorkeeper.jp/events/172217
We welcome Prof Haziq from Universiti Brunei Darussalam who is visiting us. Prof Haziq's interests lie in statistical theory, methods and computation, with a special inclination towards social science applications
R-INLA retweeted
#KAUST Professor Marc Genton, a pioneer in environmental statistics, was awarded the prestigious 2024 Don Owen Award for his outstanding contributions to #research, consultation and service to the #statisticalCommunity. Congratulations!
R-INLA retweeted
Happy birthday to him @HavardRue1 the brain behind INLA.
R-INLA retweeted
I'm delighted to announce a differentiable INLA implementation in JAX, from my colleague @geraschenko. In principle this lets you fit latent Gaussian MRFs (e.g., for spatial stats, or SLAM) with gradient-based methods, although currently the memory use is prohibitive . The trick…
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