Publications

I only update these lists occasionally, so they are likely to be out of date.

Preprints

  • R. Kamphuis, M. Mandjes, and P. Serra. Road traffic estimation and distribution-based route selection.
  • R. Kamphuis, M. Mandjes, and P. Serra. Road traffic estimation and algorithmic routing in a spatially dependent network.

Papers, patents, and code

  1. T. Bakkes, E. Mestrom, N. Ourahou, M. Mischi, E. Korsten, P. Serra, A. Bouwman, and S. Turco. Predictive modeling of perioperative patient deterioration: combining unanticipated ICU admissions and mortality for improved risk prediction. Perioperative Medicine (to appear.) 2024
  2. E. Mestrom, T. Bakkes, N. Ourahou, E. Korsten, P. Serra, L.J. Montenij, M. Mischi, S. Turco, and A. Bouwman. Prediction of postoperative patient deterioration and unanticipated intensive care unit admission using perioperative factors: Clinical decision support for postoperative patient allocation. PLOS One (to appear.) 2023
  3. E. Belitser, P. Serra, and A. Vegelien. Robust oracle estimation and uncertainty quantification for possibly sparse quantiles. Journal of Nonparametric Statistics (to appear.) 2023
  4. M.Regis, L.M. Eerikaïnen, R.Haakma, E.R. van den Heuvel, and P.Serra. Robust probabilistic modelling of PPG signals. JRSSc (to appear.) 2023
  5. T. Krivobokova, P. Serra, F. Rosales, and K. Klockmann. Joint non-parametric estimation of mean and auto-covariances for Gaussian processes. Computational Statistics and Data Analysis, 2022.
  6. M. Regis, P. Serra, and E.R. van den Heuvel. Random autoregressive models: A structured overview. Econometric Reviews, 2021.
  7. P.Serra, M. Regis, and L. Eerikainen. International Application No. PCT/EP2020/054610, 2020.
  8. P. Serra, and M. Mandjes. Estimation of Local Degree Distributions in Inhomogeneous Graphs. Computational Statistics and Data Analysis, 2019.
  9. E. Belitser, N. Nurushev, and P. Serra. Robust estimation of sparse signal with unknown sparsity cluster value. 4th ISNPS, Salerno, Italy, June 2018, Springer, 2019.
  10. P. Serra, and M. Regis. Automatic segmentation and probabilistic modelling of PPG signals. International Application No. PCT/EP2018/081322, 2018.
  11. P. Serra, and M. Mandjes. Dimension Estimation Using Random Connection Models. Journal of Machine Learning research, 18, 2018.
  12. F. Rosales, P. Serra, and T. Krivobokova. ebssc (Version 0.9). Göttingen, Germany, 2018.
  13. P.J. Serra, and A. Di Bucchianico. Discussion on “Semiparametric Bayesian Optimal Replacement Policies: Application to Railroad Tracks” by Merrick and Soyer. Applied Stochastic Models in Business and Industry, 33, 2017.
  14. P. Serra, and T. Krivobokova. Adaptive empirical smoothing splines. Bayesian Analysis 12:219-238, 2016.
  15. E. Belitser, and P. Serra. Recursive Tracking Algorithm for a Predictable Time-Varying Parameter of a Time Series. Mathematical Methods of Statistics 24:243-265, 2014.
  16. E. Belitser, P. Serra, and H. van Zanten. Rate optimal Bayesian intensity smoothing for inhomogeneous Poisson processes. Journal of Statistical Planning and Inference, 166:24–35, 2015.
  17. E. Belitser, and P. Serra. Recursive estimation of conditional spatial medians and conditional quantiles. Sequential Analysis, 33:519–538, 2014.
  18. E. Belitser, and P. Serra. Adaptive priors based on splines with random knots. Bayesian Analysis, 9:859–882, 2014.
  19. E. Belitser, P. Serra, and H. van Zanten. Estimating the period of a cyclic non-homogeneous Poisson process. Scand. J. Stat., 40:204–218, 2013.
  20. E. Belitser, and P. Serra. On properties of the algorithm for pursuing a drifting quantile. Automation and Remote Control, 74:613–627, 2013.
  21. P.J. de Andrade Serra, T. Fatima, A. Fernandez, T. Kahniyev, P.J.P. van Veurs, J.J. Oosterwijk, S.Postma, V.Rottschäfer, L.Sewalt, and F.Veerman. Up and beyond building a mountain in the Netherlands. In M. Boon, A. Di Bucchianico, J. Draisma, R. van der Hofstad, A. Muntean, M. Peletier, and J.J.Oosterwijk, editors. Proceedings of the 84th European Study Group Mathematics with Industry, Eindhoven, 2012, pages 104–125, 2012.
  22. S.H. Alavi, J. Jassbi, P. Serra, and R.A. Ribeiro. Defining fuzzy measures: a comparative study with genetic and gradient descent algorithms. In B.Pátkai, J.A. Tenreiro Machado, and I.J. Rudas, editors, Intelligent Engineering Systems and Computational Cybernetics, pages 427–437. Springer, 2009.
  23. C. Coelho, and P. Serra. Fuzzy thermal alarm system (Version 1.0) Setúbal, Portugal, 2008.
  24. C. Coelho, P. Serra, R.A. Ribeiro, R.A.M. Pereira, A. Dietz, and A. Donati. Fuzzy alarm system for laser gyroscopes’ degradation. Intelligent Automation and Soft Computing, 14:351–365, 2008.
  25. R.A.M. Pereira, R.A. Ribeiro, and P. Serra. Rule correlation and Choquet integration in fuzzy inference systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 16:601–626, 2008.
  26. P. Serra, R.A. Ribeiro, R.A.M. Pereira, R. Steel, M. Niezette, and A. Donati. Fuzzy thermal alarm system for Venus express. In Frederic Adam and Patrick Humphreys, editors, Encyclopedia of Decision Making and Decision Support Technologies, pages 391–401. IGI Global, 2008.
  27. J. Jassbi, S.H. Alavi, P. Serra, and R.A. Ribeiro. Transformation of a Mamdani FIS to first order Sugeno FIS. In Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International, pages 1–6. IEEE, 2007.
  28. R.A.M. Pereira, P. Serra, and R.A. Ribeiro. Choquet integration and correlation matrices in fuzzy inference systems. In Computational Intelligence, Theory and Applications: International Conference 9th Fuzzy Days in Dortmund, Germany, Sept. 18-20, 2006, volume 38, pages 15–18. Springer, 2006.
  29. J. Jassbi, P.J.A. Serra, R.A. Ribeiro, and A. Donati. A comparison of Mandani and Sugeno inference systems for a space fault detection application. In World Automation Congress, 2006. WAC ’06, pages 1–8, 2006.
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