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stat.ME2024
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…
stat.ME2021
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…
stat.ME2019
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…