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NASCIMENTO Diego

PhD in Statistics

Diego NASCIMENTO is an Assistant Professor of Statistics at NEOMA Business School in France. His research is in the Statistical/Machine Learning field, including linear and non-linear modeling using dependence structures in the estimation process (latent and spatio-temporal), including Data Visualization. His research is published in high-ranking journals such as the Royal Statistical Society (Applied Statistics) and Pattern Recognition. His research has involved several industrial projects, including mining companies, Customer Experience, Supply Chain Management/Forecasting (around South American companies), and neuroscience data.

Areas of research

  • Statistical Engineering
  • Time Series & Spatial Modeling
  • Statistical & Machine Learning
  • Clustering and Classification

Recent academic contributions

  • 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), January 2025, vol. 74, no. 1, pp. 1-17
    DOI : 10.1093/jrsssc/qlae042
  • 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, November 2024, vol. 155, pp. 110687
    DOI : 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, September 2024, vol. 41, no. 9
    DOI : 10.1111/exsy.13611

Article

  • 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), January 2025, vol. 74, no. 1, pp. 1-17
    DOI : 10.1093/jrsssc/qlae042
  • 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, November 2024, vol. 155, pp. 110687
    DOI : 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, September 2024, vol. 41, no. 9
    DOI : 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, November 2024, vol. 67, no. 8, pp. 101872
    DOI : 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, October 2024, vol. 19, no. 10, pp. e0311246
    DOI : 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, September 2024, vol. 36, no. 3, pp. 575-593
    DOI : 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, July 2023, vol. 17
    DOI : 10.3389/fncom.2023.1132160
  • 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, July 2022, vol. 247, pp. 108753
    DOI : 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, September 2022, vol. 220, pp. 107345
    DOI : 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, July 2022, vol. 12, no. 13, pp. 6799
    DOI : 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, October 2022, vol. 17, no. 10, pp. e0275841
    DOI : 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, March 2022, vol. 12, no. 5, pp. 2703
    DOI : 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, April 2022, vol. 9, no. 2, pp. 327-345
    DOI : 10.1007/s40745-020-00311-y
  • LOUZADA, F., D. NASCIMENTO, O. A. EGBON, "Spatial Statistical Models: An Overview under the Bayesian Approach", Axioms, December 2021, vol. 10, no. 4, pp. 307
    DOI : 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, December 2021, vol. 153, pp. 111440
    DOI : 10.1016/j.chaos.2021.111440
  • 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, July 2020, vol. 36, no. 4, pp. 570-585
    DOI : 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, November 2020, vol. 14
    DOI : 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, May 2020, vol. 517, pp. 415-426
    DOI : 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), December 2019, vol. 20, no. 3, pp. 571
    DOI : 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, August 2019, vol. 9, no. 8, pp. 208
    DOI : 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, August 2019, vol. 14, no. 8, pp. e0221332
    DOI : 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, May 2019, vol. 18, no. 1, pp. 2-17
    DOI : 10.22237/jmasm/1556669220
  • 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, April 2018, vol. 2018, no. 1, pp. 1-12
    DOI : 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, September 2018, vol. 67, no. 3, pp. 1030-1042
    DOI : 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, October 2018, vol. 9
    DOI : 10.3389/fneur.2018.00825