… We begin by reviewing Bayesian tomography in section 2. Then we describe prior work on
… Using Bayesian tomographic methods, we then describe how to track quantum states and …

… Bayes’s Theorem, then, is the key to assess how errors in the input data, and/or in the model
description and/or in the physics used to predict travel times are mapped by tomography …

… Of the various nonlinear sampling techniques available, it is the advent of so-called Bayesian
transdimensional tomography that has perhaps shown the most promise for improving the …

… Bayesian approach to self-consistent process tomography, called fast Bayesian tomography
(… In this paper we present a Bayesian method for self-consistent process tomography, called …

… In this work, we propose, analyze, and demonstrate a full Bayesian tomography method
that is straightforward to implement and numerically efficient. Our stand-alone approach …

… The application of BOS tomography to flame imaging sets the stage for instantaneous 3D …
support a Bayesian approach to gasphase tomography. Bayesian tomography makes the role …

… Among algebraic reconstruction techniques, we may emphasize Bayesian methods, which
… compared to non-Bayesian algebraic methods. Moreover, Bayesian framework gives a high …

… [1] Hydraulic tomography is a promising methodology that … In the present work, we apply the
hydraulic tomography … The resulting tomograms are inverted within the Bayesian framework …

… Conventional X-ray micro-computed tomography (μCT) is unable to meet the need for real-time,
high-… We present a Bayesian framework for time-resolved tomography that uses priors to …

… More formally, BayesianIndependence approximates the value of random variable Xei (t) …
from a practical point of view, it makes more sense to solve an easier tomography problem than …