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most citedNumerical posterior distribution error control and expected Bayes Factors in the bayesian Uncertainty Quantification of Inverse Problems

3 citations · 9 across the 12 of their papers we have counts for

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stat.CO2016★ 3 cited

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…

stat.AP2016

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…