Research output per year
Research output per year
Personal profile
Education/Academic qualification
Estatística e Gestão do Risco. Especialidade: Estatística , Doctorate, Likelihood-based inference for Multivariate Regression Models using Synthetic Data, Universidade NOVA de Lisboa
Award Date: 6 Dec 2016
External positions
Professor Auxiliar Convidado, Escola Naval e CINAV
12 Sept 2016 → …
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Dive into the research topics where Ricardo Moura is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Sea Pollution: Analysis and Monitoring using Unmanned Vehicles
Antunes, T. L., Santos, N. P., Moura, R. P. & Lobo, V., 24 Apr 2023, 2023 IEEE International Symposium on Underwater Technology (UT). Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Application of Kohonen Maps in Predicting and Characterizing VAT Fraud in a Sub-Saharan African Country
Santos, R., Moura, R. & Lobo, V., 27 Aug 2022, Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization: Dedicated to the Memory of Teuvo Kohonen / Proceedings of the 14th International Workshop, WSOM+ 2022, Prague, Czechia, July 6-7, 2022. Faigl, J., Olteanu, M. & Drchal, J. (eds.). Springer, Cham, p. 74-86 (Lecture Notes in Networks and Systems; vol. 533).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Inference for Multivariate Regression Model Based on Synthetic Data Generated Using Plug-in Sampling
Moura, R., Klein, M., Zylstra, J., Coelho, C. A. & Sinha, B., 2021, In: Journal of the American Statistical Association. 116, 534, p. 720-733 14 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Multivariate Normal Inference based on Singly Imputed Synthetic Data under Plug-in Sampling
Klein, M., Moura, R. & Sinha, B., May 2021, In: Sankhya B. 83, 1(SI), p. 273-287Research output: Contribution to journal › Article › peer-review
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Segmentation of Portuguese Electricity Daily Load Demand using Self-Organizing Maps
Moura, R., Sousa, N. & Reis, F., 2021, 2021 IEEE Electrical Power and Energy Conference, EPEC 2021. Institute of Electrical and Electronics Engineers (IEEE), p. 220-224 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review