| Inference for multivariate regression model based on synthetic data generated under fixed-posterior predictive sampling: comparison with plug-in sampling R Moura, M Klein, CA Coelho, B Sinha RevStat 15 (2), 155-186, 2017 | 7 | 2017 |
| Assessing the location of search and rescue stations on the Portuguese coast A Correia, R Moura, M Fonseca Developments and Advances in Defense and Security: Proceedings of MICRADS …, 2019 | 6 | 2019 |
| Inference for multivariate regression model based on synthetic data generated using plug-in sampling R Moura, M Klein, J Zylstra, CA Coelho, B Sinha Journal of the American Statistical Association 116 (534), 720-733, 2021 | 5 | 2021 |
| Likelihood-based Inference for Multivariate Regression Models using Synthetic Data RP Moura PQDT-Global, 2016 | 3 | 2016 |
| K-Means clustering for information dissemination of fishing surveillance A Correia, R Moura, P Agua, V Lobo International Conference on Information Technology & Systems, 84-93, 2020 | 2 | 2020 |
| A Business Intelligence system for fisheries surveillance A Correia, R Moura 2019 14th Iberian Conference on Information Systems and Technologies (CISTI …, 2019 | 2 | 2019 |
| Daily Load Profile of Portuguese Electricity Demand using Kohonen Self-Organizing Maps R Moura, J Neves, F Reis, A Correia BOOK OF ABSTRACTS, 50, 2019 | 2 | 2019 |
| Inference for multivariate regression model based on multiply imputed synthetic data generated via posterior predictive sampling R Moura, B Sinha, CA Coelho AIP Conference Proceedings 1836 (1), 2017 | 2 | 2017 |
| Application of Kohonen Maps in Predicting and Characterizing VAT Fraud in a Sub-Saharan African Country R Santos, R Moura, V Lobo International Workshop on Self-Organizing Maps, 74-86, 2022 | 1 | 2022 |
| Sea Pollution: Analysis and Monitoring using Unmanned Vehicles TL Antunes, NP Santos, RP Moura, V Lobo 2023 IEEE Underwater Technology (UT), 1-8, 2023 | | 2023 |
| Package ‘PSinference’ DM Ricardo Moura, Mina Norouzirad https://cran.r-project.org/web/packages/PSinference, 2023 | | 2023 |
| Package ‘ImpShrinkage’ M Norouzirad, D Mazarei, R Moura https://cran.r-project.org/web/packages/ImpShrinkage, 2023 | | 2023 |
| Poluição no Mar: Análise e Monitorização utilizando Veículos não Tripulados TL Antunes, NP Santos, RP Moura | | 2022 |
| Segmentation of Portuguese Electricity Daily Load Demand using Self-Organizing Maps R Moura, N Sousa, F Reis 2021 IEEE Electrical Power and Energy Conference (EPEC), 220-224, 2021 | | 2021 |
| Multivariate Normal Inference based on Singly Imputed Synthetic Data under Plug-in Sampling M Klein, R Moura, B Sinha Sankhya B 83, 273-287, 2021 | | 2021 |
| Supplementary material for “Inference for Multivariate Regression Model based on Synthetic Data generated using Plug-in Sampling” R Moura, M Klein, MJ Zylstra, CA Coelho, B Sinha | | 2021 |
| Variabilidade da Temperatura da Superfície do Mar na Costa Portuguesa C Silva, L Lamas, R Moura Atas das 6.as Jornadas de Engenharia Hidrográfica, 227-230, 2020 | | 2020 |
| Modelação de Informação para Tomada de Decisão numa Unidade Naval RM D. Afonso, A. Correia, V. Conceição Atas das 6.as Jornadas de Engenharia Hidrográfica, 434-437, 2020 | | 2020 |
| Artificial Neural Networks for Discovering Characteristics of Fishing Surveillance Areas A Correia, R Moura, P Agua, V Lobo International Conference on Information Technology & Systems, 75-83, 2020 | | 2020 |
| Uma revisão sobre dados parcialmente sintéticos: Modelo de Regressão Linear Multivariada R Moura Estatística Multivariada – perspetiva no século XXI, 10-15, 2018 | | 2018 |
Anacleto CorreiaCINAVVerified email at marinha.pt
