Bayesian estimation of density via multiple sequential inversions of two-dimensional images with application to electron microscopy

We present a new Bayesian methodology to learn the unknown material density of a given sample by inverting its two-dimensional images that are taken with a scanning electron microscope. An image results from a sequence of projections of the convolution of the density function with the unknown micros...

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Bibliographic Details

Main Authors:	Dalia Chakrabarty, Nare Gabrielyan, Fabio Rigat, Richard Beanland, Shashi Paul
Format:	Default Article
Published:	2015
Subjects:	Statistics not elsewhere classified Other mathematical sciences not elsewhere classified untagged Statistics Mathematical Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/26665
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