53 citations · 65 across the 12 of their papers we have counts for
12 papers
Wavelet estimation of nonstationary spatial covariance function
Yangyang Chen, Pedro Alberto Morettin, Ronaldo Dias +1
This work proposes a new procedure for estimating the non-stationary spatial covariance function for Spatial-Temporal Deformation. The proposed procedure is based on a monotonic fu…
Bayesian Adaptive Selection of Basis Functions for Functional Data Representation
Pedro Henrique T. O. Sousa, Camila P. E. de Souza, Ronaldo Dias
Considering the context of functional data analysis, we developed and applied a new Bayesian approach via Gibbs sampler to select basis functions for a finite representation of fun…
Clustering Functional Data via Variational Inference
Chengqian Xian, Camila de Souza, John Jewell +1
Functional data analysis deals with data recorded densely over time (or any other continuum) with one or more observed curves per subject. Conceptually, functional data are continu…
Variational Inference for Bayesian Bridge Regression
Carlos Tadeu Pagani Zanini, Helio dos Santos Migon, Ronaldo Dias
We study the implementation of Automatic Differentiation Variational inference (ADVI) for Bayesian inference on regression models with bridge penalization. The bridge approach uses…
Modeling the Evolution of Infectious Diseases with Functional Data Models: The Case of COVID-19 in Brazil
Julian A. A. Collazos, Ronaldo Dias, Marcelo C. Medeiros
In this paper, we apply statistical methods for functional data to explain the heterogeneity in the evolution of number of deaths of Covid-19 over different regions. We treat the c…
Variational Full Bayes Lasso: Knots Selection in Regression Splines
Larissa Alves, Ronaldo Dias, Helio S. Migon
We develop a fully automatic Bayesian Lasso via variational inference. This is a scalable procedure for approximating the posterior distribution. Special attention is driven to the…