Toward Bayesian inference of the spatial distribution of proteins from three-cube Förster resonance energy transfer data

DOI10.1214/17-AOAS1054zbMATH Open1380.62252OpenAlexW2761468900WikidataQ55222312 ScholiaQ55222312MaRDI QIDQ1684246

Jan-Otto Hooghoudt, Margarida Barroso, Rasmus Waagepetersen

Publication date: 8 December 2017

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/17-aoas1054

zbMATH Keywords

proteinsMarkov chain Monte CarloBayesian inferencespatial distributionspatial point processFörster resonance energy transferfluorophores

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

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