1 citations · 1 across the 5 of their papers we have counts for
5 papers
Bayesian Copula Density Estimation Using Bernstein Yett-Uniform Priors
Nicolás Kuschinski, Richard Warr, Alejandro Jara
Probability density estimation is a central task in statistics. Copula-based models provide a great deal of flexibility in modelling multivariate distributions, allowing for the sp…
Grid-Uniform Copulas and Rectangle Exchanges: Bayesian Model and Inference for a Rich Class of Copula Functions
Nicolás Kuschinski, Alejandro Jara
Copula-based models provide a great deal of flexibility in modelling multivariate distributions, allowing for the specifications of models for the marginal distributions separately…
FATSO: A family of operators for variable selection in linear models
Nicolás E. Kuschinski, J. Andrés Christen
In linear models it is common to have situations where several regression coefficients are zero. In these situations a common tool to perform regression is a variable selection ope…
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…
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…