Bayesian inference of a parametric random spheroid from its orthogonal projections

DOI10.1007/S11009-020-09806-WzbMath1473.62087OpenAlexW3042511125MaRDI QIDQ2241602

Mathieu de Langlard, Fabrice Lamadie, Johan Debayle, Sophie Charton

Publication date: 9 November 2021

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11009-020-09806-w

zbMATH Keywords

Markov chain Monte Carlo methodstereologyBayesian inferenceorthogonal projectionapproximate Bayesian computationmorphological characterizationrandom spheroid

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Uses Software

• pyuvdata

Cites Work

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• Plug-in bandwidth matrices for bivariate kernel density estimation
• Density Estimation for the Metropolis–Hastings Algorithm
• Handbook of Approximate Bayesian Computation
• Sequential Monte Carlo without likelihoods

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