32 citations · 41 across the 18 of their papers we have counts for
20 papers
Extensions in Semiparametric Geostatistical Models
Maíra Soalheiro, Marcos Oliveira Prates, Victor Hugo Lachos +1
In spatial statistics, the incorrect selection of an appropriate covariance function may lead to inference errors and confidence underestimation. Motivated by such restrictions, we…
Spatial Confounding: A review of concepts, challenges, and current approaches
Isaque Vieira Machado Pim, Luiz Max Fagundes de Carvalho, Marcos Oliveira Prates
Spatial confounding is a persistent challenge in spatial statistics, influencing the validity of statistical inference in models that analyze spatially-structured data. The concept…
The Analysis of Criminal Recidivism: A Hierarchical Model-Based Approach for the Analysis of Zero-Inflated, Spatially Correlated recurrent events Data
Alisson C. C. Silva, Fábio N. Demarqui, Bráulio F. Silva +1
The life course perspective in criminology has become prominent last years, offering valuable insights into various patterns of criminal offending and pathways. The study of crimin…
Imputation of missing data using multivariate Gaussian Linear Cluster-Weighted Modeling
Luis Alejandro Masmela-Caita, Thais Paiva Galletti, Marcos Oliveira Prates
Missing data arises when certain values are not recorded or observed for variables of interest. However, most of the statistical theory assume complete data availability. To addres…
Is augmentation effective to improve prediction in imbalanced text datasets?
Gabriel O. Assunção, Rafael Izbicki, Marcos O. Prates
Imbalanced datasets present a significant challenge for machine learning models, often leading to biased predictions. To address this issue, data augmentation techniques are widely…
Statistical Inferences and Predictions for Areal Data and Spatial Data Fusion with Hausdorff--Gaussian Processes
Lucas da Cunha Godoy, Marcos Oliveira Prates, Jun Yan
Accurate modeling of spatial dependence is pivotal in analyzing spatial data, influencing parameter estimation and predictions. The spatial structure of the data significantly impa…