Computational Statistics & Data Analysis (2009). [2] Studying dietary intake in daily life through multilevel two-part modelling: a novel analytical approach and its practical application.

[4] A Comparison of ML, WLSMV, and Bayesian Methods for Multilevel Structural Equation Models in Small Samples: A Simulation Study. Multivariate Behavioral Research (2016).

Xun Pang, Modeling Heterogeneity and Serial Correlation in Binary Time-Series Cross-sectional Data: A Bayesian Multilevel Model with AR (p) Errors, Political Analysis, Vol. 18, No. 4 (Autumn 2010), pp ...

We implement a hierarchical Bayesian approach to parameterize widely used depth‐damage functions resulting in a hierarchical (multilevel) Bayesian model (HBM) for flood loss estimation that accounts ...

Statistical decision theory: risk, decision rules, loss and utility functions, Bayesian expected loss, Frequentist risk. Bayesian Analysis: Bayes theorem, prior, posterior and predictive distributions ...

The interest on the analysis of the zero–one augmented beta regression (ZOABR) model has been increasing over the last few years. In this work, we developed a Bayesian inference for the ZOABR model, ...