1. 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, to appear.
  2. Constrained Optimization with Stochastic Feasibility Regions applied to Vehicle Path Planning.  Joint work with Julian Collazo and Adriano Z. Zambom.  Journal of Global Optimization. Vol.64,4, 2016.
  3. Consistent Variable Selection for Functional Regression Models. Joint work with Julian Collazo and Adriano Z. Zambom.  Journal of Multivariate Analysis. Vol.146, 2016.
  4. 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
  5. A Hierarchical Model for Aggregated Functional Data. Joint work with Nancy L. Garcia and Alexandra M. Schmidt. Technometrics. Vol. 55, issue 1, 2013.

  6. 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.

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

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

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

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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

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

  18. 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

  19. 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

  20. 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)

  21. 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)

  22. 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.

  23. 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)

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

  25. 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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