Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

DOI10.1137/090758775zbMath1215.68232arXiv0810.0901OpenAlexW2136477614MaRDI QIDQ2996509

Matthias W. Seeger, Hannes Nickisch

Publication date: 2 May 2011

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0810.0901

zbMATH Keywords

Bayesian statisticsmagnetic resonance imagingcompressive sensingsparsity priorexperimental designsparse reconstructionimage acquisitionsparse linear modelvariational approximate inferencesampling optimization

Mathematics Subject Classification ID

Bayesian inference (62F15) Reasoning under uncertainty in the context of artificial intelligence (68T37)

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