14 citations · 37 across the 20 of their papers we have counts for
5 papers · 1 filter
Bayesian Experimental Design for Oral Glucose Tolerance Tests (OGTT)
Nicolás E. Kuschinski, J. Andrés Christen, Adriana Monroy +1
OGTT is a common test, frequently used to diagnose insulin resistance or diabetes, in which a patient's blood sugar is measured at various times over the course of a few hours. Rec…
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…
Bayesian Analysis of ODE's: solver optimal accuracy and Bayes factors
Marcos Capistrán, J. Andrés Christen, Sophie Donnet
In most relevant cases in the Bayesian analysis of ODE inverse problems, a numerical solver needs to be used. Therefore, we cannot work with the exact theoretical posterior distrib…
On optimal direction gibbs sampling
J. Andrés Christen, Colin Fox, Diego Andrés Pérez-Ruiz +1
Generalized Gibbs kernels are those that may take any direction not necessarily bounded to each axis along the parameters of the objective function. We study how to optimally choos…