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Ricardo Moura
Ricardo Moura
其他姓名Ricardo Pinto Moura
NOVA MATH (Centre for Mathematics and Applications), CINAV (Naval Research Center)
在 fct.unl.pt 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
62019
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
Sea Pollution: Analysis and Monitoring using Unmanned Vehicles
TL Antunes, NP Santos, RP Moura, V Lobo
2023 IEEE Underwater Technology (UT), 1-8, 2023
22023
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
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
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
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
Package ‘PSinference’
DM Ricardo Moura, Mina Norouzirad
https://cran.r-project.org/web/packages/PSinference, 2023
2023
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