| Fast sequential Monte Carlo methods for counting and optimization RY Rubinstein, A Ridder, R Vaisman John Wiley & Sons, 2013 | 54 | 2013 |
| Classification SA Waksman, HA Lechevalier Identification and Description of Genera and Speciesvol 2, 1961 | 19 | 1961 |
| Ternary networks: reliability and Monte Carlo I Gertsbakh, Y Shpungin, R Vaisman Springer International Publishing, 2014 | 13 | 2014 |
| Permutational methods for performance analysis of stochastic flow networks I Gertsbakh, R Rubinstein, Y Shpungin, R Vaisman Probability in the Engineering and Informational Sciences 28 (1), 21-38, 2014 | 13 | 2014 |
| Decision-making with cross-entropy for self-adaptation GA Moreno, O Strichman, S Chaki, R Vaisman 2017 IEEE/ACM 12th International Symposium on Software Engineering for …, 2017 | 11 | 2017 |
| Network reliability Monte Carlo with nodes subject to failure I Gertsbakh, Y Shpungin, R Vaisman International Journal of Performability Engineering 10 (2), 163-172, 2014 | 11 | 2014 |
| The splitting method for decision making R Rubinstein, A Dolgin, R Vaisman Communications in Statistics-Simulation and Computation 41 (6), 905-921, 2012 | 11 | 2012 |
| Stochastic enumeration method for counting trees R Vaisman, DP Kroese Methodology and Computing in Applied Probability 19 (1), 31-73, 2017 | 10 | 2017 |
| Improved sampling plans for combinatorial invariants of coherent systems R Vaisman, DP Kroese, IB Gertsbakh IEEE transactions on reliability 65 (1), 410-424, 2015 | 9 | 2015 |
| Monte Carlo for estimating exponential convolution I Gertsbakh, E Neuman, R Vaisman Communications in Statistics-Simulation and Computation 44 (10), 2696-2704, 2015 | 8 | 2015 |
| On the use of smoothing to improve the performance of the splitting method F Cérou, A Guyader, R Rubinstein, R Vaisman Stochastic Models 27 (4), 629-650, 2011 | 8 | 2011 |
| Data Science and Machine Learning: Mathematical and Statistical Methods DP Kroese, Z Botev, T Taimre, R Vaisman CRC Press, 2019 | 5 | 2019 |
| The Multilevel Splitting algorithm for graph colouring with application to the Potts model R Vaisman, M Roughan, DP Kroese Philosophical Magazine 97 (19), 1646-1673, 2017 | 5 | 2017 |
| Splitting sequential Monte Carlo for efficient unreliability estimation of highly reliable networks R Vaisman, DP Kroese, IB Gertsbakh Structural Safety 63, 1-10, 2016 | 5 | 2016 |
| Stochastic enumeration methods for counting, rare-events and optimization R Vaisman Technion-Israel Institute of Technology, Faculty of Industrial and …, 2013 | 4 | 2013 |
| Sequential Monte Carlo for counting vertex covers in general graphs R Vaisman, ZI Botev, A Ridder Statistics and Computing 26 (3), 591-607, 2016 | 3 | 2016 |
| Counting with Combined Splitting and Capture–Recapture Methods P Dupuis, B Kaynar, A Ridder, R Rubinstein, R Vaisman Stochastic models 28 (3), 478-502, 2012 | 3 | 2012 |
| On a single discrete scale for preventive maintenance with two shock processes affecting a complex system M Finkelstein, I Gertsbakh, R Vaisman Applied Stochastic Models in Business and Industry 33 (1), 54-62, 2017 | 2 | 2017 |
| Estimating the Number of Vertices in Convex Polytopes R Salomone, R Vaisman, DP Kroese Proceedings of the International Conference on Operations Research and …, 2016 | 2 | 2016 |
| D-spectrum and reliability of a binary system with ternary components IB Gertsbakh, Y Shpungin, R Vaisman Probability in Engineering and Informational Sciences 30, 1-15, 2016 | 2 | 2016 |
Dirk P KroeseProfessor of Mathematics and Statistics, The University of QueenslandVerified email at maths.uq.edu.au
