The total number of subjects is estimated by the method of data augmentation developed by Link and Barker.
Here Mendel's law of segregation was utilized to assign the two parental alleles with equal probabilities, and then applying the method of data augmentation, as a part of the resulting Bayesian computation.
Wong et al. [34] investigate a benefit of data augmentation for MNIST handwritten character dataset.
She describes it as a method of staff augmentation without adding to headcount.
This study evaluated the safety and feasibility of Algisyl-LVR™ as a method of left ventricular augmentation in patients with dilated cardiomyopathy undergoing open-heart surgery.
Use of data augmentation techniques and Markov chain Monte Carlo methods has enabled us to develop a novel method for estimating vaccination coverage.
Instead of direct computation via dynamic programming, we apply a Bayesian MCMC method with data augmentation.
The model is estimated using a Bayesian method that utilizes data augmentation with Gibbs sampling.
This is a major advantage over other Bayesianly proper methods such as data augmentation (Tanner and Wong 1987) that assume a common distribution for all of the variables.
The first aim of this paper is to propose the multivariate ZTCS distribution by developing its important distributional properties, and providing efficient likelihood-based inference methods via a novel data augmentation in the framework of the expectation maximization (EM) algorithm.
Trim & Fill [ 11, 13] is probably the most popular method for examining the possible effect of PB on the pooled estimate, and can be defined as an iterative non-parametric adjustment method based on a rank-based data augmentation technique to account for asymmetry on the funnel plot.
