Marcos Oliveira Prates
Universidade Federal de Minas Gerais
H-index: 13
Latin America-Brazil
Top articles of Marcos Oliveira Prates
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Penalized complexity priors for the skewness parameter of power links | Canadian Journal of Statistics | Jose A Ordonez Marcos O Prates Jorge L Bazan Victor H Lachos | 2024/3 |
Objective Bayesian analysis for geostatistical Student-t processes | Journal of Spatial Science | Jose A Ordoñez Marcos O Prates Larissa A Matos Victor H Lachos | 2024/1/12 |
Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru | Computational Statistics | Carlos García Zaida Quiroz Marcos Prates | 2023/6 |
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data | Statistics and Computing | Zaida C Quiroz Marcos O Prates Dipak K Dey H åvard Rue | 2023/4 |
Irregular shaped small nodule detection using a robust scan statistic | Statistics in biosciences | Ali Abolhassani Marcos O Prates Safieh Mahmoodi | 2023/4 |
Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution | Stat | Victor H Lachos Manuel Galea Camila Zeller Marcos O Prates | 2023/1 |
Alleviating spatial confounding in frailty models | Biostatistics | Douglas RM Azevedo Marcos O Prates Dipankar Bandyopadhyay | 2023/10/1 |
Imputation of missing data using multivariate Gaussian Linear Cluster-Weighted Modeling | arXiv preprint arXiv:2308.06677 | Luis Alejandro Masmela-Caita Thais Paiva Galletti Marcos Oliveira Prates | 2023/8/13 |
An unified framework for point-level, areal, and mixed spatial data: the Hausdorff-Gaussian Process | arXiv preprint arXiv:2208.07900 | Lucas da Cunha Godoy Marcos Oliveira Prates Jun Yan | 2022/8/16 |
Beyond Gaussian processes: Flexible Bayesian modeling and inference for geostatistical processes | arXiv preprint arXiv:2203.06437 | FB Gonçalves MO Prates GAS Aguilar | 2022/3/12 |
Non-separable spatio-temporal models via transformed multivariate Gaussian Markov random fields | Journal of the Royal Statistical Society Series C: Applied Statistics | Marcos O Prates Douglas RM Azevedo Ying C MacNab Michael R Willig | 2022/11 |
Likelihood‐based inference for spatiotemporal data with censored and missing responses | Environmetrics | Katherine AL Valeriano Victor H Lachos Marcos O Prates Larissa A Matos | 2021/5 |
MSPOCK: alleviating spatial confounding in multivariate disease mapping models | Journal of Agricultural, Biological and Environmental Statistics | Douglas RM Azevedo Marcos O Prates Dipankar Bandyopadhyay | 2021/9 |
An up-to-date review of scan statistics | Ali Abolhassani Marcos O Prates | 2021 | |
A zero-modified Poisson mixed model with generalized random effect | Journal of Statistical Computation and Simulation | Gabriela C Raquel Katiane S Conceicao Marcos O Prates Marinho G Andrade | 2021/8/13 |
Estimating hidden populations by transferring knowledge from geographically misaligned levels | Statistical Methods in Medical Research | Douglas RM Azevedo Marcos O Prates Renato M Assunção | 2021/1 |
Heckman selection-t model: Parameter estimation via the EM-algorithm | Journal of Multivariate Analysis | Victor H Lachos Marcos O Prates Dipak K Dey | 2021/7/1 |
Dynamic time scan forecasting for multi-step wind speed prediction | Renewable Energy | Marcelo Azevedo Costa Ramiro Ruiz-Cárdenas Leandro Brioschi Mineti Marcos Oliveira Prates | 2021/11/1 |
Spatial regression models for bounded response variables with evaluation of the degree of dependence | Statistics and its Interface | Sandra E Flores Marcos O Prates Jorge L Bazán Heleno B Bolfarine | 2021 |
Spatial skew‐normal/independent models for nonrandomly missing clustered data | Statistics in Medicine | Dipankar Bandyopadhyay Marcos O Prates Xiaoyue Zhao Victor H Lachos | 2021/6/15 |
Co-Authors
