![](https://neoma-bs.fr/sites/default/files/uploaded_images/profs-neoma_0.png)# NASCIMENTO Diego { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Accueil", "item": "https://neoma-bs.fr/" }, { "@type": "ListItem", "position": 2, "name": "NASCIMENTO\u0020Diego", "item": "https://neoma-bs.fr/node/34931.md" } ] } - [Accueil](https://neoma-bs.fr/) - NASCIMENTO Diego ![](/sites/default/files/styles/large/public/uploaded_images/photos_academ/53669-nascimento-diego.jpg?itok=8aJp9aAQ)NASCIMENTO Diego Professeur assistant - À propos - Publications académiques [Système d'Information, Supply Chain Management & aide à la Décision](https://neoma-bs.fr/departements/systeme-dinformation-supply-chain-management-aide-la-decision) PhD en statistiques Diego NASCIMENTO est Professeur Assistant en statistiques à NEOMA Business School. Sa recherche s'inscrit dans le domaine de la statistique et de l'apprentissage automatique, incluant la modélisation linéaire et non linéaire à l'aide de structures de dépendance dans le processus d'estimation (latentes et spatio-temporelles), ainsi que la visualisation de données. Ses travaux sont publiés dans des revues de haut niveau telles que Royal Statistical Society (Applied Statistics) et Pattern Recognition. Ses recherches ont impliqué plusieurs projets industriels, notamment avec des entreprises minières, dans l’expérience client, la gestion et la prévision de la chaîne d’approvisionnement (principalement auprès d'entreprises sud-américaines), ainsi que des données en neurosciences. ### Domaines de recherche - Ingénierie Statistique - Modélisation des séries temporelles et spatiales - Statistique et Apprentissage Automatique - Regroupement et Classification ## Récentes contributions académiques NASCIMENTO, D. (2026, Octobre). *Reliability-Centered Maintenance: a short introduction to Industrial Engineering through Reliability models and Multivariate Statistical Process Monitoring.* II Argentinian Statistical Conference (2026 CAE), Tandil, Argentine NASCIMENTO, D. - "Industrial Stats: Bridging complex and high-dimensional modelling with modern Stats" - 2025, The Hague, Pays-Bas DE JESUS, A. C., L. MARQUES, D. NASCIMENTO, B. A. PIMENTEL, "Understanding Public School Enrollment Trends in the Northeast of Brazil: Unraveling Features Through AI Related to the Learning Process for Low-Income Students" dans *Artificial Intelligence in Education*., Alexandra I. Cristea, Erin Walker, Yu Lu, Olga C. Santos, Seiji Isotani Eds, Springer Nature Switzerland, pp. 454-461, 2025 DOI : [ 10.1007/978-3-031-98462-4\_57 ](https://dx.doi.org/10.1007/978-3-031-98462-4_57) ## Publications EGBON, O. A., C. HEUMANN, D. NASCIMENTO, F. LOUZADA, "Mixtures of Dirichlet processes for joint spatial modelling of transcranial magnetic stimulation mapping data", *Journal of the Royal Statistical Society Series C (Applied Statistics)*, Janvier 2025, vol. 74, no. 1, pp. 1-17 DOI : [ 10.1093/jrsssc/qlae042 ](https://dx.doi.org/10.1093/jrsssc/qlae042) ORTIGOSSA, E. S., F. F. DIAS, D. NASCIMENTO, L. G. NONATO, "Time Series Information Visualization - A Review of Approaches and Tools", *IEEE Access*, Septembre 2025, vol. 13, pp. 161653-161684 DOI : [ 10.1109/ACCESS.2025.3609404 ](https://dx.doi.org/10.1109/ACCESS.2025.3609404) RIBEIRO, G. G., L. C. C. DA COSTA, P. H. FERREIRA, D. NASCIMENTO, "A Bayesian approach to predict performance in football: a case study", *Frontiers in Sports and Active Living*, Mars 2025, vol. 7 DOI : [ 10.3389/fspor.2025.1486928 ](https://dx.doi.org/10.3389/fspor.2025.1486928) HENRIQUES, M. J., O. A. GONZATTO JUNIOR, A. M. O. GONÇALVES-ZULIANE, W. M. DE CARVALHO NUNES, T. A. GUEDES, V. JANEIRO, D. NASCIMENTO, P. L. RAMOS, F. LOUZADA, "Longitudinal Bayesian Zero-Inflated Beta Regression for Citrus Canker Resistance in Orange Rootstocks", *Journal of Agricultural, Biological and Environmental Statistics*, Avril 2025 DOI : [ 10.1007/s13253-025-00686-6 ](https://dx.doi.org/10.1007/s13253-025-00686-6) COSTA, L., O. ANACLETO, D. NASCIMENTO, J. Q. SMITH, C. M. QUEEN, F. LOUZADA, T. NICHOLS, "Evaluating brain group structure methods using hierarchical dynamic models", *Pattern Recognition*, Novembre 2024, vol. 155, pp. 110687 DOI : [ 10.1016/j.patcog.2024.110687 ](https://dx.doi.org/10.1016/j.patcog.2024.110687) LIMA MARINHO, T., D. NASCIMENTO, B. A. PIMENTEL, "Optimization on selecting hyperparameters using meta‐learning", *Expert Systems: the Journal of Knowledge Engineering*, Septembre 2024, vol. 41, no. 9 DOI : [ 10.1111/exsy.13611 ](https://dx.doi.org/10.1111/exsy.13611) RIMOLI, B. P., D. B. FAVORETTO, L. R. A. SANTOS, D. NASCIMENTO, K. T. WEBER, F. LOUZADA, J. P. LEITE, D. J. EDWARDS, T. G. S. EDWARDS, "Graviceptive neglect induced by HD-tDCS of the right or left temporoparietal junction: A within-person randomized trial in healthy adults", *Annals of Physical and Rehabilitation Medicine*, Novembre 2024, vol. 67, no. 8, pp. 101872 DOI : [ 10.1016/j.rehab.2024.101872 ](https://dx.doi.org/10.1016/j.rehab.2024.101872) REIS, L. F. M., D. NASCIMENTO, P. H. FERREIRA, F. LOUZADA, Q. ZHANG, "Fixing imbalanced binary classification: An asymmetric Bayesian learning approach", *PLoS ONE*, Octobre 2024, vol. 19, no. 10, pp. e0311246 DOI : [ 10.1371/journal.pone.0311246 ](https://dx.doi.org/10.1371/journal.pone.0311246) NASCIMENTO, D., O. A. GONZATTO JUNIOR, D. ELAL-OLIVERO, E. BONNAIL, P. H. FERREIRA, "Statistical process control (SPC) for double-bounded information: Choosing wisely the parametric family for unit data", *Quality Engineering*, Septembre 2024, vol. 36, no. 3, pp. 575-593 DOI : [ 10.1080/08982112.2023.2254843 ](https://dx.doi.org/10.1080/08982112.2023.2254843) NASCIMENTO, D., J. R. SANTOS DA SILVA, A. ARA, J. R. SATO, L. COSTA, "Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo", *Frontiers in Computational Neuroscience*, Juillet 2023, vol. 17 DOI : [ 10.3389/fncom.2023.1132160 ](https://dx.doi.org/10.3389/fncom.2023.1132160) EGBON, O. A., D. NASCIMENTO, F. LOUZADA, "Prior elicitation for Gaussian spatial process: An application to TMS brain mapping", *Statistics in Medicine*, Septembre 2023, vol. 42, no. 22, pp. 3956-3980 DOI : [ 10.1002/sim.9842 ](https://dx.doi.org/10.1002/sim.9842) GONZATTO JUNIOR, O. A., D. NASCIMENTO, C. M. RUSSO, M. J. HENRIQUES, C. P. TOMAZELLA, M. O. SANTOS, D. NEVES, D. ASSAD, R. GUERRA, E. K. BERTAZO, J. A. CUMINATO, F. LOUZADA, "Safety-Stock: Predicting the demand for supplies in Brazilian hospitals during the COVID-19 pandemic", *Knowledge-Based Systems*, Juillet 2022, vol. 247, pp. 108753 DOI : [ 10.1016/j.knosys.2022.108753 ](https://dx.doi.org/10.1016/j.knosys.2022.108753) STEFANO, L. H. S., D. B. FAVORETTO, D. NASCIMENTO, L. R. A. SANTOS, F. LOUZADA, M. BIKSON, J. P. LEITE, O. M. PONTES-NETO, D. J. EDWARDS, T. G. S. EDWARDS, "Middle cerebral artery blood flow stability in response to high-definition transcranial electrical stimulation: A randomized sham-controlled clinical trial", *Clinical Neurology and Neurosurgery*, Septembre 2022, vol. 220, pp. 107345 DOI : [ 10.1016/j.clineuro.2022.107345 ](https://dx.doi.org/10.1016/j.clineuro.2022.107345) ORTIGOSSA, E. S., F. F. DIAS, D. NASCIMENTO, "Getting over High-Dimensionality: How Multidimensional Projection Methods Can Assist Data Science", *World Applied Sciences Journal*, Juillet 2022, vol. 12, no. 13, pp. 6799 DOI : [ 10.3390/app12136799 ](https://dx.doi.org/10.3390/app12136799) FERREIRA, P. H., A. O. FONSECA, D. NASCIMENTO, E. BONNAIL, F. LOUZADA, "Unraveling water monitoring association towards weather attributes for response proportions data: A unit-Lindley learning", *PLoS ONE*, Octobre 2022, vol. 17, no. 10, pp. e0275841 DOI : [ 10.1371/journal.pone.0275841 ](https://dx.doi.org/10.1371/journal.pone.0275841) FAVORETTO, D. B., E. BERGONZONI, D. NASCIMENTO, F. LOUZADA, T. W. LEMOS, R. A. BATISTELA, R. MORAES, J. P. LEITE, B. P. RIMOLI, D. J. EDWARDS, T. G. S. EDWARDS, "High Definition tDCS Effect on Postural Control in Healthy Individuals: Entropy Analysis of a Crossover Clinical Trial", *World Applied Sciences Journal*, Mars 2022, vol. 12, no. 5, pp. 2703 DOI : [ 10.3390/app12052703 ](https://dx.doi.org/10.3390/app12052703) IANISHI, P., O. A. GONZATTO JUNIOR, M. J. HENRIQUES, D. NASCIMENTO, G. K. MATTAR, P. L. RAMOS, A. ARA, F. LOUZADA, "Probability on Graphical Structure: A Knowledge-Based Agricultural Case", *Annals of Data Science*, Avril 2022, vol. 9, no. 2, pp. 327-345 DOI : [ 10.1007/s40745-020-00311-y ](https://dx.doi.org/10.1007/s40745-020-00311-y) LOUZADA, F., D. NASCIMENTO, O. A. EGBON, "Spatial Statistical Models: An Overview under the Bayesian Approach", *Axioms*, Décembre 2021, vol. 10, no. 4, pp. 307 DOI : [ 10.3390/axioms10040307 ](https://dx.doi.org/10.3390/axioms10040307) NASCIMENTO, D., B. A. PIMENTEL, R. M. C. R. SOUZA, L. COSTA, S. GONÇALVES, F. LOUZADA, "Dynamic graph in a symbolic data framework: An account of the causal relation using COVID-19 reports and some reflections on the financial world", *Chaos, Solitons & Fractals*, Décembre 2021, vol. 153, pp. 111440 DOI : [ 10.1016/j.chaos.2021.111440 ](https://dx.doi.org/10.1016/j.chaos.2021.111440) NASCIMENTO, D., P. L. RAMOS, A. ENNES, C. COCOLO, M. J. NICOLA, C. ALONSO, L. G. RIBEIRO, F. LOUZADA, "A reliability engineering case study of sugarcane harvesters", *Gestão & Produção*, Juillet 2020, vol. 27, no. 4 DOI : [ 10.1590/0104-530x4569-20 ](https://dx.doi.org/10.1590/0104-530x4569-20) LEÃO, J., E. LOPES, T. LEÃO, D. NASCIMENTO, "Birnbaum‐Saunders autoregressive conditional range model applied to stock index data", *Applied Stochastic Models in Business & Industry*, Juillet 2020, vol. 36, no. 4, pp. 570-585 DOI : [ 10.1002/asmb.2511 ](https://dx.doi.org/10.1002/asmb.2511) NASCIMENTO, D., M. A. PINTO-ORELLANA, J. P. LEITE, D. J. EDWARDS, F. LOUZADA, T. E. G. SANTOS, "BrainWave Nets: Are Sparse Dynamic Models Susceptible to Brain Manipulation Experimentation?", *Frontiers in Systems Neuroscience*, Novembre 2020, vol. 14 DOI : [ 10.3389/fnsys.2020.527757 ](https://dx.doi.org/10.3389/fnsys.2020.527757) NASCIMENTO, D., B. PIMENTEL, R. SOUZA, J. P. LEITE, D. J. EDWARDS, T. E. G. SANTOS, F. LOUZADA, "Dynamic time series smoothing for symbolic interval data applied to neuroscience", *Information Sciences*, Mai 2020, vol. 517, pp. 415-426 DOI : [ 10.1016/j.ins.2019.12.026 ](https://dx.doi.org/10.1016/j.ins.2019.12.026) RAMOS, P. L., D. NASCIMENTO, R. FERNANDES, E. GUIMARÃES, M. SANTANA, K. SOARES, F. LOUZADA, "Medical Care in Emergency Units with Risk Classification: Time to Attendance at Hospital based on Parametric Models", *TEMA (São Carlos)*, Décembre 2019, vol. 20, no. 3, pp. 571 DOI : [ 10.5540/tema.2019.020.03.571 ](https://dx.doi.org/10.5540/tema.2019.020.03.571) NASCIMENTO, D., G. DEPETRI, L. H. STEFANO, O. ANACLETO, J. P. LEITE, D. J. EDWARDS, T. E. G. SANTOS, F. LOUZADA NETO, "Entropy Analysis of High-Definition Transcranial Electric Stimulation Effects on EEG Dynamics", *Behavioral and Brain Sciences*, Août 2019, vol. 9, no. 8, pp. 208 DOI : [ 10.3390/brainsci9080208 ](https://dx.doi.org/10.3390/brainsci9080208) RAMOS, P. L., D. NASCIMENTO, P. H. FERREIRA, K. T. WEBER, T. E. G. SANTOS, F. LOUZADA, "Modeling traumatic brain injury lifetime data: Improved estimators for the Generalized Gamma distribution under small samples", *PLoS ONE*, Août 2019, vol. 14, no. 8, pp. e0221332 DOI : [ 10.1371/journal.pone.0221332 ](https://dx.doi.org/10.1371/journal.pone.0221332) NASCIMENTO, D., C. XAVIER, I. FELIPE, F. L. NETO, "Dynamic Conditional Correlation GARCH: A Multivariate Time Series Novel using a Bayesian Approach", *Journal of Modern Applied Statistical Methods*, Mai 2019, vol. 18, no. 1, pp. 2-17 DOI : [ 10.22237/jmasm/1556669220 ](https://dx.doi.org/10.22237/jmasm/1556669220) NASCIMENTO, D., B. BARBOSA, A. M. PEREZ, D. O. CAIRES, E. HIRAMA, P. L. RAMOS, F. LOUZADA, "Risk Management in E-Commerce—A Fraud Study Case Using Acoustic Analysis through Its Complexity", *Entropy*, Novembre 2019, vol. 21, no. 11, pp. 1087 DOI : [ 10.3390/e21111087 ](https://dx.doi.org/10.3390/e21111087) RAMOS, P. L., D. NASCIMENTO, C. COCOLO, M. J. NICOLA, C. ALONSO, L. G. RIBEIRO, A. ENNES, F. LOUZADA, "Reliability-Centered Maintenance: Analyzing Failure in Harvest Sugarcane Machine Using Some Generalizations of the Weibull Distribution", *Modelling and Simulation in Engineering*, Avril 2018, vol. 2018, no. 1, pp. 1-12 DOI : [ 10.1155/2018/1241856 ](https://dx.doi.org/10.1155/2018/1241856) LOUZADA, F., P. L. RAMOS, D. NASCIMENTO, "The Inverse Nakagami-m Distribution: A Novel Approach in Reliability", *IEEE Transactions on Reliability*, Septembre 2018, vol. 67, no. 3, pp. 1030-1042 DOI : [ 10.1109/TR.2018.2829721 ](https://dx.doi.org/10.1109/TR.2018.2829721) SANTOS, T. E. G., D. B. FAVORETTO, I. G. TOOSTANI, D. NASCIMENTO, B. P. RIMOLI, E. BERGONZONI, T. W. LEMOS, D. Q. TRUONG, A. C. B. DELBEM, B. MAKKIABADI, R. MORAES, F. LOUZADA, M. BIKSON, J. P. LEITE, D. J. EDWARDS, "Manipulation of Human Verticality Using High-Definition Transcranial Direct Current Stimulation", *Frontiers in Neurology*, Octobre 2018, vol. 9 DOI : [ 10.3389/fneur.2018.00825 ](https://dx.doi.org/10.3389/fneur.2018.00825) ## Chapitres DE JESUS, A. C., L. MARQUES, D. NASCIMENTO, B. A. PIMENTEL, "Understanding Public School Enrollment Trends in the Northeast of Brazil: Unraveling Features Through AI Related to the Learning Process for Low-Income Students" dans *Artificial Intelligence in Education*., Alexandra I. Cristea, Erin Walker, Yu Lu, Olga C. Santos, Seiji Isotani Eds, Springer Nature Switzerland, pp. 454-461, 2025 DOI : [ 10.1007/978-3-031-98462-4\_57 ](https://dx.doi.org/10.1007/978-3-031-98462-4_57) LOUZADA, F., P. H. FERREIRA, D. NASCIMENTO, "Spike‐and‐Slab Priors and Their Applications" dans *Wiley StatsRef: Statistics Reference Online*., Ron S. Kenett, Nicholas T. Longford, Walter W. Piegorsch, Fabrizio Ruggeri Eds, Wiley, pp. 1-8, 2023 DOI : [ 10.1002/9781118445112.stat08417 ](https://dx.doi.org/10.1002/9781118445112.stat08417) ## Conference invitations NASCIMENTO, D. (2026, Octobre). *Reliability-Centered Maintenance: a short introduction to Industrial Engineering through Reliability models and Multivariate Statistical Process Monitoring.* II Argentinian Statistical Conference (2026 CAE), Tandil, Argentine NASCIMENTO, D. - "Industrial Stats: Bridging complex and high-dimensional modelling with modern Stats" - 2025, The Hague, Pays-Bas NASCIMENTO, D. - "Proyecciones Multidimensionales Una mirada hacia el descubrimiento de patrones y análisis de datos en alta dimensión" - 2024, Guayaquil, Équateur NASCIMENTO, D. - "Inferência causal com séries temporais e aprendizado de estrutura" - 2024, Salvador, Brésil NASCIMENTO, D. - "Está Sudamérica en riesgo de otra pandemia? Cómo la estadística podrá cuantificar el contagio de la gripe aviar (H5N1) bajo una mirada Bayesiana espacio-temporal?" - 2024, Lujan, Argentine NASCIMENTO, D. - "Stats in Industry 5.0: Some cases of contemporaneous experimental designs adopting dynamic and hierarchical structures" - 2023, London, Royaume-Uni NASCIMENTO, D. - "Cuantificando el impacto de la Gripe Aviar: una aplicación de modelos estadisticos y aprendizaje de máquina en Chile" - 2023, Copiapó, Chili NASCIMENTO, D. - "Estatistica não supervisionada uma abordagem Bayesiana: primeiro passos na redução de dimensão de dados" - 2022, Manaus, Brésil NASCIMENTO, D. - "Ciencia de Datos: matemática, estadística y computación generando soluciones prácticas a problemas del área de salud" - 2022, Concepción, Chili NASCIMENTO, D. - "Fundamentos y aplicaciones en el uso de la técnica tDCS: haciendo énfasis en el tratamiento matemático de la señal" - 2022, Bucaramanga, Colombie NASCIMENTO, D. - "Avances recientes en la confiabilidad de sistemas complejos" - 2021, Montevideo, Uruguay