14 citations · 37 across the 20 of their papers we have counts for
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Sampling hyperparameters in hierarchical models: improving on Gibbs for high-dimensional latent fields and large data sets
Richard A. Norton, J. Andres Christen, Colin Fox
We consider posterior sampling in the very common Bayesian hierarchical model in which observed data depends on high-dimensional latent variables that, in turn, depend on relativel…
Numerical posterior distribution error control and expected Bayes Factors in the bayesian Uncertainty Quantification of Inverse Problems
J. Andrés Christen, Marcos A. Capistrán, Miguel Ángel Moreles
In the bayesian analysis of Inverse Problems most relevant cases the forward maps (FM, or regressor function) are defined in terms of a system of (O, P)DE's with intractable soluti…
Modeling Oral Glucose Tolerance Test (OGTT) data and its Bayesian Inverse Problem
Nicolás Kuschinski, J. Andrés Christen, Adriana Monroy +1
One common way to test for diabetes is the Oral Glucose Tolerance Test or OGTT. Most common methods for the analysis of the data on this test are wasteful of much of the informatio…