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Ricardo Moura
Ricardo Moura
Other namesRicardo Pinto Moura
NOVA MATH (Centre for Mathematics and Applications), CINAV (Naval Research Center)
Verified email at fct.unl.pt
Title
Cited by
Cited by
Year
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
82021
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
82017
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
72019
Sea Pollution: Analysis and Monitoring using Unmanned Vehicles
TL Antunes, NP Santos, RP Moura, V Lobo
2023 IEEE Underwater Technology (UT), 1-8, 2023
52023
Likelihood-based Inference for Multivariate Regression Models using Synthetic Data
RP Moura
PQDT-Global, 2016
32016
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
22024
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
22022
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
22020
A Business Intelligence system for fisheries surveillance
A Correia, R Moura
2019 14th Iberian Conference on Information Systems and Technologies (CISTI …, 2019
22019
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
22019
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
22017
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
12024
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
12023
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
12021
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
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Articles 1–20