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Dr Radislav (Slava) Vaisman
Building 69, Room 716
School of Mathematics and Physics
The University of Queensland
Brisbane St Lucia, QLD 4072

(+61)-7 336 53264

I am grateful for the support provided by the Australian Research Council Centre of Excellence for Mathematical & Statistical Frontiers, under CE140100049 grant number.

Publications:

    Books:

  1. D.P. Kroese, Z.I. Botev, T. Taimre, and R. Vaisman, Data Science and Machine Learning: Mathematical and Statistical Methods, , Chapman and Hall/CRC, 2019.

  2. I. B. Gertsbakh, Y. Shpungin and R. Vaisman, Ternary Networks: Reliability and Monte Carlo, Springer Briefs in Electrical and Computer Engineering, 2014.

  3. R.Y. Rubinstein, A. Ridder and R. Vaisman, Fast Sequential Monte Carlo Methods for Counting and Optimization, John Wiley & Sons, 2013.

    4. R.Y. Rubinstein, A. Ridder and R. Vaisman,
    Fast Sequential Monte Carlo Methods for Counting and Optimization,
    John Wiley & Sons, 2013.

    Order Information:
    [ Wiley | Amazon ]     		I. Gertsbakh, Y. Shpungin and R. Vaisman,
    Ternary Networks: Reliability and Monte Carlo,
    SpringerBriefs in Electrical and Computer Engineering, 2014.

    Order Information:
    [ Springer | Amazon ]     		D.P. Kroese, Z.I. Botev, T. Taimre, and R. Vaisman.
    Data Science and Machine Learning: Mathematical and Statistical Methods,
    Chapman and Hall/CRC, 2019

    Order Information:
    [ CRC Press ]

    Book chapters:

  4. Reliability of a Network with Heterogeneous Components
    I. B. Gertsbakh, Y. Shpungin and R. Vaisman, in "Recent Advances in Multi- state Systems Reliability: Theory and Applications". Springer Series in Reliability Engineering book series, pages 3-18, Cham, 2018.

    5. Journals:

  5. On the benefit of robust Bayesian confirmatory factor analysis, Online supplementary, R package
    R. Vaisman, Mitchell Scovell, Nikolai Kinaev, and Javier Fernandez, accepted to publication in Structural Equation Modeling: A Multidisciplinary Journal (2024).

  6. Improved Likelihood Estimation for Noisy Gamma Degradation Processes via Sequential Monte Carlo
    Merel Buist, R. Vaisman, and Maria Vlasiou, Communications in Statistics - Simulation and Computation, https://doi.org/10.1080/03610918.2024.2358128 1–25 (2024).

  7. On Alternative Monte Carlo Methods for Parameter Estimation in Gamma Process Models With Intractable Likelihood
    Daniel Z. Herr, R. Vaisman, Mitchell Scovell, and Nikolai Kinaev, IEEE Transactions on Reliability. doi: 10.1109/TR.2024.3381126 (2024).

  8. Ukrainization and the effect of Russian language on the Web: the Google Trends case study
    Hui Yao, Andrew Crowden, and R. Vaisman, Problems of Post-Communism. doi: 10.1080/10758216.2023.2224568 (2023).

  9. Optimal balanced chain decomposition of partially ordered sets with applications to operating cost minimization in aircraft routing problems
    R. Vaisman and I.B. Gertsbakh, Public Transport ISSN1613-7159 (2022).

  10. Finding Minimum Label Spanning Trees using Cross-Entropy Method
    R. Vaisman, Networks, Vol. 79, (2), http://dx.doi.org/10.1002/net.22057 (2022).

  11. Sequential Stratified Splitting for Efficient Monte Carlo Integration
    R. Vaisman, Sequential Analysis Volume 40, Issue 3 ISSN: 07474946, 15324176 (2021).

  12. Reliability and Importance Measure Analysis of Networks with Shared Risk Link Groups
    R. Vaisman and Y. Sun, Reliability Engineering and System Safety, Vol. 211, 107578, https://doi.org/10.1016/j.ress.2021.107578 (2021).

  13. Subset selection via continuous optimization with applications to network design
    R. Vaisman, Environmental Monitoring and Assessment volume 192, Article number: 361 (05/2020).

  14. On the Analysis of Independent Sets via Multilevel Splitting
    R. Vaisman, D. P. Kroese, Vol. 71, (3) Networks (2018).

  15. The Multilevel Splitting Algorithm for Graph Coloring with Application to the Potts Model
    R. Vaisman, M. Roughan and D. P. Kroese, Vol. 97, (19) Philosophical Magazine (2017).

  16. Resilience of Finite Networks Against Simple and Combined Attack on Their Nodes
    I. B. Gertsbakh and R. Vaisman. Electronic Journal: Reliability: Theory & Applications, Vol. 11, (43) (12/2016).

  17. On a Single Discrete Scale for Preventive Maintenance with Two Shock Processes Affeecting a Complex System
    M. Finkelstein, I. B. Gertsbakh, and R. Vaisman Applied Stochastic Models in Business and Industry (2016).

  18. Splitting Sequential Monte Carlo for Efficient Unreliability Estimation of Highly Reliable Networks
    R. Vaisman, D. P. Kroese and I. B. Gertsbakh, (11/2016). Structural Safety Vol. 63, 2016, pp. 1-10, paper.

  19. Stochastic Enumeration Method for Counting Trees
    R. Vaisman and D. P. Kroese. Methodology & Computing in Applied Probability. Published online paper (7/2015).

  20. D-spectrum and Reliability of a Binary System With Ternary Components
    I. Gertsbakh, Y. Shpungin and R. Vaisman Prob. in Eng. and Inf. Sciences. Published online, Vol. 30, No. 1, 2016, pp. 25-39, paper (10/2015).

  21. Improved Sampling Plans for Combinatorial Invariants of Coherent Systems
    R. Vaisman, D. P. Kroese and I. B. Gertsbakh, IEEE Trans. Rel. Published online, Vol. 65, No. 1, 2016, pp. 410-424, paper (7/2015).

  22. Sequential Monte Carlo for Counting Vertex Covers in General Graphs
    R. Vaisman, Z. I. Botev and A. Ridder, (2014). Statistics and Computing, Published online, Vol. 26, No. 3, 2016, pp. 591-607, paper (02/2015).

  23. Model counting of monotone CNF formulas with Spectra
    R. Vaisman, O. Strichman and I. B. Gertsbakh, (2014). INFORMS, Journal on Computing. Published online, Vol. 27, No. 2, 2015, pp. 406-415, paper.

  24. Network Reliability Monte Carlo With Nodes Subject to Failure
    I. Gertsbakh, Y. Shpungin and R. Vaisman, International Journal of Performability Engineering, Vol. 10, No. 2, 2014, pp. 161-170.

  25. Permutational Methods for Performance Analysis of Stochastic Flow Networks
    I. Gertsbakh, R. Y. Rubinstein, Y. Shpungin and R. Vaisman, Prob. in Eng. and Inf. Sciences, Vol. 28, No. 1, 2014, pp. 21-38.

  26. Monte Carlo for estimating exponential convolution
    I. Gertsbach, E. Newman, and R. Vaisman, Communications in Statistics - Simulation and Computation, Vol. 44, No. 10, 2015, pp. 2696-2704.

  27. Counting with Combined Splitting and Capture - Recapture Methods
    P. Dupuis, B. Kaynar, A. Ridder, R. Y. Rubinstein, and R. Vaisman, Stochastic Models, Vol. 28, No. 3, 2012, pp. 478-502.

  28. The Splitting Method for Decision Making
    R. Y. Rubinstein, A. Dolgin, and R. Vaisman, Communications in Statistics - Simulation and Computation, Vol. 41, No. 6, 2012, pp. 905-921.

  29. On the Use of Smoothing to Improve the Performance of the Splitting Method
    F. C'erou, A. Guyader, R. Y. Rubinstein, and R. Vaisman, Stochastic Models, Vol. 27, No. 4, 2011, pp. 629-650.

  30. How to Generate Uniform Samples on Discrete Sets Using the Splitting Method
    P. Glynn, A. Dolgin, R. Y. Rubinstein, and R. Vaisman, Prob. in Eng. and Inf. Sciences, Vol. 24, No. 3, 2010, pp. 405-422.

    31. Refereed Conference Proceedings:

  31. Decision-Making with Cross-Entropy for Self-Adaptation
    G. A. Moreno, S. Chaki, O. Strichman and R. Vaisman, Proceedings of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), May 22-23, 2017. doi:10.1109/SEAMS.2017.7

  32. Estimating the Number of Vertices in Convex Polytopes
    R. Salomone, R. Vaisman and D. P. Kroese, Proceedings of the Annual International Conference on Operations Research and Statistics, ORS 2016. doi:10.5176/2251-1938_ORS16.25

  33. New Sampling Plans for Estimating Residual Connectedness Reliability
    R. Shah and R. Vaisman, Proceedings of the Annual International Conference on Operations Research and Statistics, ORS 2016. doi:10.5176/2251-1938_ORS16.18

  34. D-spectra for Networks with Binary and Ternary Components
    I. B. Gertsbakh, Y. Shpungin and R. Vaisman Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO’16), Beer-Sheva, Israel, 2016. doi:10.1109/SMRLO.2016.44

  35. Reliability of Stochastic Flow Networks with continuous link capacities
    Z. I. Botev, R. Vaisman, R. Y. Rubinstein and P. L'Ecuyer, (2014). In proceedings of the 2014 Winter Simulation Conference, Savannah, GA, USA. doi:10.1109/WSC.2014.7019919

    36. PhD Dissertation:

    Stochastic Enumeration Methods for Counting, Rare-Events and Optimization. Technion, Israle Institute of Technology, (2014).

    Technical Reports:

  1. Using D-spectra for Calculating Network Residual Resilience After Random Attack on Its Nodes or Edges
    I. B. Gertsbakh, Y. Shpungin and R. Vaisman.