Convergent stochastic expectation maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation

DOI10.1016/j.csda.2015.04.011zbMath1468.62016arXiv1207.5938OpenAlexW1951747706MaRDI QIDQ1663188

Estelle Kuhn, Stéphanie Allassonnière

Publication date: 21 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1207.5938

zbMATH Keywords

maximum likelihood estimationMCMChigh dimensionstochastic EM algorithmdeformable templategeometric variabilityanisotropic MALAmissing variable

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

Online EM for functional data ⋮ Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model ⋮ Statistical models for deformable templates in image and shape analysis ⋮ Template Shape Estimation: Correcting an Asymptotic Bias

Uses Software

• LDDMM

Cites Work

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