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researcher

Lisa Gaedke-Merzhäuser

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.CO2
  • cs.DC1
ORCID 0000-0002-7586-2727
same name
  • Lisa Gaedke-Merzhäuser — 1 paper, h 2
  • Lisa Gaedke-Merzhäuser — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedParallelized integrated nested Laplace approximations for fast Bayesian inference

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.DC2026

ADELIA: Automatic Differentiation for Efficient Laplace Inference Approximations

Afif Boudaoud, Lisa Gaedke-Merzhäuser, Alexandros Nikolaos Ziogas +6

Spatio-temporal Bayesian inference drives environmental and health sciences using latent Gaussian models. Integrated Nested Laplace Approximations (INLA) enable inference for these…

stat.CO2023★ 1 cited

Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling

Lisa Gaedke-Merzhäuser, Elias Krainski, Radim Janalik +2

Bayesian inference tasks continue to pose a computational challenge. This especially holds for spatial-temporal modeling where high-dimensional latent parameter spaces are ubiquito…

stat.CO2022★ 1 cited

Parallelized integrated nested Laplace approximations for fast Bayesian inference

Lisa Gaedke-Merzhäuser, Janet van Niekerk, Olaf Schenk +1

There is a growing demand for performing larger-scale Bayesian inference tasks, arising from greater data availability and higher-dimensional model parameter spaces. In this work w…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.