Full publication list can be found at my Google Scholar profile.

Selected Publications

  1. A. Budhiraja, P. Dupuis and V. Maroulas. Large deviations for infinite dimensional stochastic dynamical systems, Annals of Probability, 36(4), (2008), 1390-1420.
  2. A. Budhiraja, P. Dupuis and V. Maroulas. Variational representations for continuous time processes. Annales de l' Institut de Henri Poincare, 47(3), pp. 725-747, 2011.
  3. V. Maroulas and P. Stinis. Improved particle filters for multi-target tracking. Journal of Computational Physics, 231(2), pp.602-611, 2012.
  4. V. Maroulas and J. Xiong. Large deviations for optimal filtering with fractional Brownian motion. Stochastic Processes and their Applications, 123(6), pp. 2340-2352, 2013.
  5. V. Maroulas and A. Nebenfuhr. Tracking rapid intracellular movements: a Bayesian random set approach. Annals of Applied Statistics, 9(2), pp. 926-949, 2015.
  6. G. Ren, V. Maroulas and I.D. Schizas. Distributed Sensors-Targets Spatiotemporal Association and Tracking. IEEE Transactions on Aerospace and Electronic Systems, (51) 4, pp. 2570-2589 2015.
  7. I. Sgouralis, V. Maroulas and A. Layton. Transfer function analysis of dynamic blood flow control in the rat kidney. Bulletin of Mathematical Biology, 78(5): 923-60, 2016
  8. I. Sgouralis, A. Nebenfuhr, and V. Maroulas. A Bayesian topological framework for the identification and reconstruction of subcellular motion. SIAM Journal on Imaging Sciences, 10(2), pp. 871-8992017.
  9. E. Evangelou and V. Maroulas. Sequential Empirical Bayes method for filtering dynamic spatiotemporal processes. Spatial Statistics, 21(Part A), pp. 114-129, 2017.
  10. F. Bao and V. Maroulas. Adaptive Meshfree Backward SDE Filter. SIAM Scientific Computing 39(6), A2664-2683, 2017.
  11. K. Kang, V. Maroulas, I. Schizas and F. Bao. Improved distributed particle filters for tracking in wireless sensor network. Computational Statistics and Data Analysis, (117), pp. 90-108, 2018.
  12. A. Marchese and V. Maroulas. Signal classification with a point process distance on the space of persistence diagrams. Advances in Data Analysis and Classification, 12 (3), 657-682, 2018.
  13. V. Maroulas, X. Pan, and J. Xiong. Large deviations of the optimal filter for nonlinear dynamical systems with Levy noise. Stochastic Processes and their Applications. In Press, 2019.
  14. V. Maroulas, J. Mike and C. Oballe. Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams. Journal of Machine Learning Research, 20 (151), pp. 1-49, 2019.

Software

For updates on my software please visit my Github.

  1. Download the latest version of the R-package Bayesian Topological Data Analysis Bayes TDA. The associated Python version is here.It is based on this preprint.
  2. J. Mike and V. Maroulas. Combinatorial Hodge theory for equitable kidney paired donation. For the code of the associated paper click here
  3. For an illustration of the dpc-distance (Marchese and Maroulas, 2018) for computing distances among persistence diagrams look at the app below. It was created by my PhD student Cassie Micucci.