53 citations · 55 across the 9 of their papers we have counts for
7 papers · 1 filter
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…
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…
A Review of Kernel Density Estimation with Applications to Econometrics
Adriano Zanin Zambom, Ronaldo Dias
Nonparametric density estimation is of great importance when econometricians want to model the probabilistic or stochastic structure of a data set. This comprehensive review summar…