About Lisa Gaedke-Merzhäuser Lisa Gaedke-Merzhäuser Postdoctoral Research Fellow, Statistics Lisa Gaedke-Merzhäuser is a PostDoctoral Fellow at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Håvard Rue in his research group. Events Presented Events Apr 12 - Apr 18, 2026 Efficient Numerical Methods for Scalable Bayesian Inference Lisa Gaedke-Merzhäuser, Postdoctoral Research Fellow, Statistics Apr 16, 12:00 - 13:00 B9 R2325 numerical methods Efficient Bayesian Inversion Automated and scalable algorithms This talk will introduce and discuss the computational building blocks of Integrated Nested Laplace Approximations (INLA) and how these are implemented in software libraries such as R-INLA or DALIA. Apr 20 - Apr 26, 2025 Linear Solvers for Large-Scale Bayesian Modeling Lisa Gaedke-Merzhäuser, Postdoctoral Research Fellow, Statistics Apr 24, 12:00 - 13:00 B9 L2 R2325 In this talk we explore what it means to perform Bayesian inference and introduce the methodology of integrated nested Laplace approximations (INLA).
Efficient Numerical Methods for Scalable Bayesian Inference Lisa Gaedke-Merzhäuser, Postdoctoral Research Fellow, Statistics Apr 16, 12:00 - 13:00 B9 R2325 numerical methods Efficient Bayesian Inversion Automated and scalable algorithms This talk will introduce and discuss the computational building blocks of Integrated Nested Laplace Approximations (INLA) and how these are implemented in software libraries such as R-INLA or DALIA.
Linear Solvers for Large-Scale Bayesian Modeling Lisa Gaedke-Merzhäuser, Postdoctoral Research Fellow, Statistics Apr 24, 12:00 - 13:00 B9 L2 R2325 In this talk we explore what it means to perform Bayesian inference and introduce the methodology of integrated nested Laplace approximations (INLA).
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