53 citations · 55 across the 8 of their papers we have counts for
8 papers
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…
A Basis Approach to Surface Clustering
Adriano Zanin Zambom, Qing Wang, Ronaldo Dias
This paper presents a novel method for clustering surfaces. The proposal involves first using basis functions in a tensor product to smooth the data and thus reduce the dimension t…
Scalable modeling of nonstationary covariance functions with non-folding B-spline deformation
Ronaldo Dias, Guilherme Ludwig, Paul Sampson
We propose a method for nonstationary covariance function modeling, based on the spatial deformation method of Sampson and Guttorp [1992], but using a low-rank, scalable deformatio…
Selection of the Number of Clusters in Functional Data Analysis
Adriano Zanin Zambom, Julian A. Collazos, Ronaldo Dias
Identifying the number of clusters in a dataset is one of the most difficult problems in clustering analysis. A choice of that correctly characterizes the features of the d…
Consistent Variable Selection for Functional Regression Models
Julian A. A. Collazos, Adriano Z. Zambom
The dual problem of testing the predictive significance of a particular covariate, and identification of the set of relevant covariates is common in applied research and methodolog…