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 | 8 | 2021 |
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 | 8 | 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 | 7 | 2019 |
Sea Pollution: Analysis and Monitoring using Unmanned Vehicles TL Antunes, NP Santos, RP Moura, V Lobo 2023 IEEE Underwater Technology (UT), 1-8, 2023 | 5 | 2023 |
Likelihood-based Inference for Multivariate Regression Models using Synthetic Data RP Moura PQDT-Global, 2016 | 3 | 2016 |
Fisheries Inspection in Portuguese Waters from 2015 to 2023 R Moura, N Pessanha Santos, A Vala, L Mendes, P Simões, ... Scientific Data 11 (1), 362, 2024 | 2 | 2024 |
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 | 2 | 2022 |
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 |
Side-scan sonar imaging data of underwater vehicles for mine detection NP Santos, R Moura, GS Torgal, V Lobo, M de Castro Neto Data in Brief 53, 110132, 2024 | 1 | 2024 |
Addressing Sea Pollution Using Unmanned Vehicles: The Portuguese Case Study N Pessanha Santos, R Moura, T Lourenço Antunes, V Lobo Available at SSRN 4517682, 2023 | 1 | 2023 |
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 | 1 | 2021 |
Controle da Divulgacão Estatística: Proteção e publicação de dados protegidos relativos à Fiscalização da Pesca Portuguesa de 2015 a 2023. R Moura Encontro Nacional da Sociedade Portuguesa da Matemática 2024, 2024 | | 2024 |
Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection M Norouzirad, R Moura, M Arashi, FJ Marques Journal of Applied Statistics, 2024 | | 2024 |
Long-term in situ Eulerian Sea surface temperature records along the Portuguese Coast NP Santos, R Moura, CS da Silva, L Lamas, V Lobo, M de Castro Neto Data in Brief 54, 110287, 2024 | | 2024 |
Unmanned Vehicles: A Promising Solution to Addressing Sea Pollution NP Santos, R Moura, TL Antunes, V Lobo OCEANS 2024-Singapore, 1-4, 2024 | | 2024 |
Gulf of Guinea: Piracy in a dataset. (in Springer Nature Channel, Behind the Paper) R Moura, N Pessanha Santos https://communities.springernature.com/posts/gulf-of-guinea-piracy-in-a-dataset, 2024 | | 2024 |
Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021 R Moura, N Pessanha Santos, A Rocha, V Lobo, M de Castro Neto Scientific Data 10 (1), 876, 2023 | | 2023 |