| Kernel density estimation via diffusion ZI Botev, JF Grotowski, DP Kroese | 2025 | 2010 |
| Handbook of monte carlo methods DP Kroese, T Taimre, ZI Botev John Wiley & Sons, 2013 | 1515 | 2013 |
| Why the Monte Carlo method is so important today DP Kroese, T Brereton, T Taimre, ZI Botev Wiley Interdisciplinary Reviews: Computational Statistics 6 (6), 386-392, 2014 | 769 | 2014 |
| The normal law under linear restrictions: simulation and estimation via minimax tilting ZI Botev Journal of the Royal Statistical Society. Series B (Statistical Methodology …, 2017 | 227 | 2017 |
| The cross-entropy method for optimization ZI Botev, DP Kroese, RY Rubinstein, P L’Ecuyer Handbook of statistics 31, 35-59, 2013 | 202 | 2013 |
| Efficient Monte Carlo simulation via the generalized splitting method ZI Botev, DP Kroese Statistics and Computing 22, 1-16, 2012 | 137 | 2012 |
| Spatial process simulation DP Kroese, ZI Botev Stochastic geometry, spatial statistics and random fields: Models and …, 2014 | 122 | 2014 |
| An efficient algorithm for rare-event probability estimation, combinatorial optimization, and counting ZI Botev, DP Kroese Methodology and Computing in Applied Probability 10, 471-505, 2008 | 104 | 2008 |
| Static network reliability estimation via generalized splitting ZI Botev, P L'Ecuyer, G Rubino, R Simard, B Tuffin INFORMS Journal on Computing 25 (1), 56-71, 2013 | 84 | 2013 |
| Markov chain importance sampling with applications to rare event probability estimation ZI Botev, P L’Ecuyer, B Tuffin Statistics and Computing 23, 271-285, 2013 | 79 | 2013 |
| Global likelihood optimization via the cross-entropy method with an application to mixture models Z Botev, DP Kroese Proceedings of the 2004 Winter Simulation Conference, 2004. 1, 2004 | 74 | 2004 |
| Variance reduction Z Botev, A Ridder Wiley statsRef: Statistics reference online, 1-6, 2017 | 73 | 2017 |
| Data science and machine learning: mathematical and statistical methods DP Kroese, Z Botev, T Taimre, R Vaisman CRC Press, 2019 | 67 | 2019 |
| Generalized cross-entropy methods with applications to rare-event simulation and optimization ZI Botev, DP Kroese, T Taimre Simulation 83 (11), 785-806, 2007 | 67 | 2007 |
| The generalized cross entropy method, with applications to probability density estimation ZI Botev, DP Kroese Methodology and Computing in Applied Probability 13 (1), 1-27, 2011 | 66 | 2011 |
| Spatial process generation DP Kroese, ZI Botev arXiv preprint arXiv:1308.0399, 2013 | 65 | 2013 |
| A novel nonparametric density estimator ZI Botev | 58 | 2006 |
| Nonparametric density estimation via diffusion mixing ZI Botev | 32 | 2007 |
| Efficient probability estimation and simulation of the truncated multivariate student-t distribution ZI Botev, P L'Ecuyer 2015 Winter Simulation Conference (WSC), 380-391, 2015 | 26 | 2015 |
| Non-asymptotic bandwidth selection for density estimation of discrete data ZI Botev, DP Kroese Methodology and Computing in Applied Probability 10 (3), 435-451, 2008 | 22 | 2008 |
Dirk P KroeseProfessor of Mathematics and Statistics, The University of QueenslandVerified email at maths.uq.edu.au
