| Chromosome arm aneuploidies shape tumour evolution and drug response A Shukla, THM Nguyen, SB Moka, JJ Ellis, JP Grady, H Oey, AS Cristino, ... Nature communications 11 (1), 1-14, 2020 | 40 | 2020 |
| Towards q-learning the whittle index for restless bandits J Fu, Y Nazarathy, S Moka, PG Taylor 2019 Australian & New Zealand Control Conference (ANZCC), 249-254, 2019 | 22 | 2019 |
| Safe Blues: a method for estimation and control in the fight against COVID-19 R Dandekar, SG Henderson, M Jansen, S Moka, Y Nazarathy, ... medRxiv, 2020 | 9 | 2020 |
| Spatial loss systems: Exact simulation and rare event behavior S Foss, S Juneja, MRH Mandjes, SB Moka ACM SIGMETRICS Performance Evaluation Review 43 (2), 3-6, 2015 | 5 | 2015 |
| Regenerative simulation for queueing networks with exponential or heavier tail arrival distributions SB Moka, S Juneja ACM Transactions on Modeling and Computer Simulation (TOMACS) 25 (4), 1-22, 2015 | 4 | 2015 |
| Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics R Dandekar, SG Henderson, HM Jansen, J McDonald, S Moka, ... Patterns 2 (3), 100220, 2021 | 3 | 2021 |
| Unbiased estimation of the reciprocal mean for non-negative random variables S Moka, DP Kroese, S Juneja Winter Simulation Conference (WSC), 404-415, 2019 | 2 | 2019 |
| Perfect sampling for Gibbs processes with a focus on hard-sphere models SB Moka, S Juneja, MRH Mandjes arXiv preprint arXiv:1705.00142 1705, 2017 | 2 | 2017 |
| Rare events in random geometric graphs C Hirsch, SB Moka, T Taimre, DP Kroese Methodology and Computing in Applied Probability, 1-17, 2021 | 1 | 2021 |
| Perfect sampling for Gibbs point processes using partial rejection sampling SB Moka, DP Kroese Bernoulli 26 (3), 2082-2104, 2020 | 1 | 2020 |
| Analysis of perfect sampling methods for hard-sphere models SB Moka, S Juneja, MRH Mandjes ACM SIGMETRICS Performance Evaluation Review 45 (3), 69-75, 2018 | 1 | 2018 |
| Regenerative simulation for multiclass open queueing networks SB Moka, S Juneja 2013 Winter Simulations Conference (WSC), 643-654, 2013 | 1 | 2013 |
| COMBSS: Best Subset Selection via Continuous Optimization S Moka, B Liquet, H Zhu, S Muller arXiv preprint arXiv:2205.02617, 2022 | | 2022 |
| The Mathematical Engineering of Deep Learning B Liquet, S Moka, Y Nazarathy Obtenido de https://deeplearningmath. org/general-fully-connected-neural …, 2022 | | 2022 |
| Variance Reduction for Matrix Computations with Applications to Gaussian Processes A Mathur, S Moka, Z Botev EAI International Conference on Performance Evaluation Methodologies and …, 2021 | | 2021 |
| Rejection-and importance-sampling-based perfect simulation for Gibbs hard-sphere models S Moka, S Juneja, M Mandjes Advances in Applied Probability 53 (3), 839-885, 2021 | | 2021 |
| Safe Blues: A Method for Estimation and Control in the Fight Against COVID-19 SG Henderson, M Jansen, J McCaw, S Moka, Y Nazarathy, ... | | 2020 |
| Diffusion Parameters of Flows in Stable Multi-class Queueing Networks SB Moka, Y Nazarathy, W Scheinhardt arXiv preprint arXiv:1311.5610, 2013 | | 2013 |
Yoni NazarathyThe University of QueenslandVerified email at uq.edu.au
