1. Clustering Functional Data via Variational Inference. Joint work with Xian C. and De Souza, C. To appear in ADAC- Advance in Data Analysis and Classification, 2024. https://doi.org/10.1007/s11634-024-00590-w

  2. Variational Inference for Bayesian Bridge Regression. Joint work with Zanini, C. Migon, H. S. To appear in Statistics and Computing, 2024. https://doi.org/10.1007/s11222-023-10317-0

  3. Modeling the Evolution of Infectious Diseases with Functional Data Models: The Case of COVID-19 in Brazil. Joint work with Julian Collazos and Marcelo Medeiros. Statistics in Medicine, Vol. 42, issue 7, 2023.doi.org/10.1002/sim.9654

  4. Variational Bayesian Lasso for Spline Regression. Joint work with Alves L. Migon, H.S. To appear. Computational Statistics, 2024. https://doi.org/10.1007/s00180-024-01470-9. Supplementary Material

  5. Bayesian Adaptive Selection of Basis Functions for Functional Data Representation. Joint work with Sousa, P.H.T.O. and De Souza, C. Journal of Applied Statistics, Vol. 51, Issue 5. 2024 (online 2023).

  6. Shrinkage heteroscedastic discriminant algorithms for classifying multi-class high-dimensional data: Insights from a national health survey. Joint work with Olushina Olawale Awe and Natisha Dukhi. Machine Learning with Applications, Vol. 12, 2023. doi.org/10.1016/j.mlwa.2023.100459

  7. Sustainable Statistical and Data Science Methods and Practices. Joint work with Olushina Olawale Awe. 3 Chapters in this book. https://link.springer.com/chapter/10.1007/978-3-031-41352-0_17. 2024

  8. Selection of the Number of Clusters in Functional Data Analysis. Joint work with Adriano Z. Zambom and Julio Collazos. Journal of Statistical Computation and Simulation, Vol. 92, issue 14, 2022. https://doi.org/10.1080/00949655.2022.2053855

  9. Comparative Analysis of ARIMA and Artificial Neural Network Techniques for Forecasting Non-Stationary Agricultural Output Time Series. Joint work with Olushina Olawale Awe. Agris on-line Papers in Economics and Informatics, vol. XIV, no. 4, 2022. DOI 10.7160/aol.2022.1404xx

  10. Basis Approach to Surface Clustering. Joint work with Adriano Z. Zambom and Wang, Q. Statistics, Optimization and Information Computing. Vol. 10. pp. 359-351, 2022.

  11. Functional Data Clustering via Hypothesis Testing K-means. Joint work with Adriano Z. Zambom and Julian Collazos. Computational Statistics. Vol. 34, 527-549, 2019.

  12. Analysis of Aggregated Functional Data from Mixed Populations with Application to Energy Consumption. Joint work with Lenzi, A., de Souza, Camila, Garcia, N. and Heckman, N. Environmetrics, Vol. 28, issue no. 2, 2017.

  13. Constrained Optimization with Stochastic Feasibility Regions applied to Vehicle Path Planning. Joint work with Julian Collazos and Adriano Z. Zambom. Journal of Global Optimization. Vol.64,4, 2016.

  14. Consistent Variable Selection for Functional Regression Models. Joint work with Julian Collazos and Adriano Z. Zambom. Journal of Multivariate Analysis. Vol.146, 2016.

  15. Aggregated functional data model for Near-Infrared Spectroscopy calibration and prediction. Joint work with Nancy L. Garcia, G. Ludwig and Marley Saraiva. Journal of Applied Statistics, vol. 42, issue 1. 2015

  16. A Hierarchical Model for Aggregated Functional Data. Joint work with Nancy L. Garcia and Alexandra M. Schmidt. Technometrics. Vol. 55, issue 1, 2013.

  17. Bayesian Modeling of Autoregressive Partial Linear Models with Scale Mixture of Normal Errors. Joint work with V. H. Lachos Davila, Ferreira, G., Castro L.. Journal of Applied Statistics (2013). 40(8): 1796-1816.

  18. A Review of Kernel Density Estimation with Applications to Econometrics. Joint work with Adriano Z. Zambom. International Econometric Review. (2013), 5 (1).

  19. Bayesian mixture of parametric and nonparametric density estimation-A misspecification problem. Joint work with Hedibert Lopes. Brazilian Review of Econometrics. (31) 1.

  20. Monte Carlo algorithm for trajectory optimization based on Markovian readings. Computation Optimization and Applications, 2012. vol. 51, 1, pp 305-321

  21. A penalized nonparametric method for nonlinear constrained optimization based on noisy data. Computation Optimization and Applications, 2010, vol 45 no. 3. Technical report

  22. Non-parametric estimation for aggregated functional data for electric load monitoring. Joint work with Nancy L. Garcia. Environmetrics, 2009, vol 20, pp 111-130. Technical Report

  23. Penalized maximum likelihood estimation for a function of the intensity of a Poisson point process. Statistical Inference for Stochastic Processes, Vol 11 no. 1, 2008. Joint work with Nancy L. Garcia and Clecio Ferreira. Technical Report

  24. Consistent Estimator for Basis Selection Based on a proxy of the Kullback-Leibler Distance. Journal of Econometrics. Vol 141, no. 1, pp 167-178, (2007). Joint work with Nancy L. Garcia. Technical Report

  25. A spline approach to nonparametric testing of hypotheses. Braz. Journal of Prob. and Stat Vol 18, no.1, pp. 53-68, (2005). Joint work with Nancy Garcia.  Technical Report

  26. Adaptive Basis Selection for Functional Data Analysis via Stochastic Penalization. Computational and Applied Mathematics, vol. 24, no. 2, pp. 209-229 (2005). Joint work with Cezar A.F. Anselmo and Nancy L. Garcia. Technical Report

  27. Alocacao de Clientes em Grupos usando classificacao via Boosting. Revista Brasileira de Estatistica, Vol 64, no. 221, pp. 25-41(2003). Joint work with Alexandre Rubesam.  Technical Report

  28. Nonparametric Econometrics. Brazilian Review of Econometrics. Vol 22, no. 1 (2002).PSFile(Technical Report)  RP 14/02 IMECC UNICAMP

  29. A Bayesian approach to Hybrid splines nonparametric regression. Journal of Statistical Computation and Simulation.  Vol. 72, no. 4, pp. 285-297 (2002). PSFile(Technical Report)  RP 26/99. IMECC UNICAMP

  30. A review of non-parametric curve estimation methods with application to Econometrics.  Economia. Vo. 3, no. 1 (2002).    PDF(Technical Report)   RP 05/01, IMECC UNICAMP

  31. A note on Maximum Likelihood Density Estimation Using a Proxy of the Kullback-Leibler Distance. Brazilian Journal of Probability and Statistics, Vol. 13 no. 2,  pp 181-192(1999), December 2000 Postscript(Technical Report)

  32. Approximations for Non-symmetric Truncated Sequential and Repetead Significance Tests. Sequential Analysis, Volume 18,2,  pp 107-117 (1999) (Joint work  with Nancy L. Garcia) Postscript(Technical Report)

  33. Sequential Adaptive Nonparametric Regression via H-splines.Communications in Statistics: Computation and Simulation, Volume 28,  pp 501-515, 1999. Postscript(Technical Report)  RP 43/96, IMECC, UNICAMP.

  34. Numerical and Monte Carlo verification of  V-distribution. Random Operator and Stochastic Equations, 6, No. 1, pp 57-60. 1998.(joint work with V. Girko) Postscriptfile(Technical Report)

  35. Prior Selection by an Adaptive Smoothing Splines Approach. Random Operator and Stochastic Equations, 6, No.2, pp 201-212. 1998. Postscriptfile(TechnicalReport)

  36. Density Estimation via Hybrid Splines. Journal of Statistical Computation and Simulation, vol 60, No. 4, 277-294, 1998. Postscriptfile(Technical Report)


 

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