Radislav (Slava) Vaisman
Radislav (Slava) Vaisman
Lecturer in in the School of Mathematics and Physics
Verified email at uq.edu.au - Homepage
Cited by
Cited by
Fast sequential Monte Carlo methods for counting and optimization
RY Rubinstein, A Ridder, R Vaisman
John Wiley & Sons, 2013
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
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, 2014
The splitting method for decision making
R Rubinstein, A Dolgin, R Vaisman
Communications in Statistics-Simulation and Computation 41 (6), 905-921, 2012
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 forá…, 2017
Ternary networks: reliability and Monte Carlo
I Gertsbakh, Y Shpungin, R Vaisman
Springer International Publishing, 2014
Improved sampling plans for combinatorial invariants of coherent systems
R Vaisman, DP Kroese, IB Gertsbakh
IEEE transactions on reliability 65 (1), 410-424, 2015
Stochastic enumeration method for counting trees
R Vaisman, DP Kroese
Methodology and Computing in Applied Probability 19 (1), 31-73, 2017
Monte Carlo for estimating exponential convolution
I Gertsbakh, E Neuman, R Vaisman
Communications in Statistics-Simulation and Computation 44 (10), 2696-2704, 2015
On the use of smoothing to improve the performance of the splitting method
F CÚrou, A Guyader, R Rubinstein, R Vaisman
Stochastic Models 27 (4), 629-650, 2011
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
Splitting sequential Monte Carlo for efficient unreliability estimation of highly reliable networks
R Vaisman, DP Kroese, IB Gertsbakh
Structural Safety 63, 1-10, 2016
Stochastic enumeration methods for counting, rare-events and optimization
R Vaisman
Technion-Israel Institute of Technology, Faculty of Industrial andá…, 2013
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
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
Sequential Monte Carlo for counting vertex covers in general graphs
R Vaisman, ZI Botev, A Ridder
Statistics and Computing 26 (3), 591-607, 2016
Estimating the Number of Vertices in Convex Polytopes
R Salomone, R Vaisman, DP Kroese
Proceedings of the International Conference on Operations Research andá…, 2016
Hanging edges for fast reliability estimation
R Rubinstein, R Vaisman, Z Botev
Private Communication, 2012
Data Science and Machine Learning: Mathematical and Statistical Methods
DP Kroese, Z Botev, T Taimre, R Vaisman
CRC Press, 2019
Reliability of a network with heterogeneous components
IB Gertsbakh, Y Shpungin, R Vaisman
Recent Advances in Multi-state Systems Reliability, 3-18, 2018
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