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ORCIDZdravko I. Botev
Person information
- affiliation: University of New South Wales, Kensington, Australia
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2020 – today
- 2024
[c18]Anant Mathur, Sarat Babu Moka
, Benoit Liquet, Zdravko Botev:
Group Combss: Group Selection Via Continuous Optimization. WSC 2024: 3217-3228- 2023
- [c17]Anant Mathur, Sarat Babu Moka, Zdravko Botev:
Column Subset Selection and Nyström Approximation via Continuous Optimization. WSC 2023: 3601-3612 - 2022
- [j13]Anant Mathur, Sarat Babu Moka, Zdravko Botev:
Coordinate Descent for Variance-Component Models. Algorithms 15(10): 354 (2022) - 2021
- [c16]Anant Mathur, Sarat Babu Moka, Zdravko Botev:
Variance Reduction for Matrix Computations with Applications to Gaussian Processes. VALUETOOLS 2021: 243-261 - [c15]Shev MacNamara, Erik Schlögl, Zdravko I. Botev:
Estimation When Both Covariance and Precision Matrices are Sparse. WSC 2021: 1-11 - 2020
- [j12]Zdravko I. Botev, Pierre L'Ecuyer:
Sampling Conditionally on a Rare Event via Generalized Splitting. INFORMS J. Comput. 32(4): 986-995 (2020) - [j11]Nadhir Ben Rached, Daniel MacKinlay, Zdravko I. Botev, Raúl Tempone, Mohamed-Slim Alouini:
A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems. IEEE Trans. Wirel. Commun. 19(7): 4353-4362 (2020)
2010 – 2019
- 2019
- [j10]Zdravko I. Botev, Robert Salomone, Daniel MacKinlay:
Fast and accurate computation of the distribution of sums of dependent log-normals. Ann. Oper. Res. 280(1-2): 19-46 (2019) - [j9]Patrick J. Laub, Robert Salomone, Zdravko I. Botev:
Monte Carlo estimation of the density of the sum of dependent random variables. Math. Comput. Simul. 161: 23-31 (2019) - [c14]Daniel MacKinlay, Zdravko I. Botev:
Mosaic Style Transfer Using Sparse Autocorrelograms. ISMIR 2019: 886-893 - [p1]Zdravko I. Botev, Pierre L'Ecuyer:
Simulation from the Tail of the Univariate and Multivariate Normal Distribution. Systems Modeling: Methodologies and Tools 2019: 115-132 - [i1]Nadhir Ben Rached, Daniel MacKinlay, Zdravko I. Botev, Raúl Tempone, Mohamed-Slim Alouini:
A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems. CoRR abs/1908.10616 (2019) - 2018
- [j8]Nadhir Ben Rached, Zdravko I. Botev, Abla Kammoun, Mohamed-Slim Alouini, Raúl Tempone:
On the Sum of Order Statistics and Applications to Wireless Communication Systems Performances. IEEE Trans. Wirel. Commun. 17(11): 7801-7813 (2018) - [c13]Nadhir Ben Rached, Zdravko I. Botev, Abla Kammoun, Mohamed-Slim Alouini, Raúl Tempone:
Importance Sampling Estimator of Outage Probability under Generalized Selection Combining Model. ICASSP 2018: 3909-3913 - [c12]Pierre L'Ecuyer, Zdravko I. Botev, Dirk P. Kroese:
On a generalized splitting method for Sampling from a Conditional Distribution. WSC 2018: 1694-1705 - [c11]Zdravko I. Botev, Yi-Lung Chen, Pierre L'Ecuyer, Shev MacNamara, Dirk P. Kroese:
Exact posterior simulation from the linear Lasso Regression. WSC 2018: 1706-1717 - 2017
- [c10]Zdravko I. Botev, Pierre L'Ecuyer:
Accurate computation of the right tail of the sum of dependent log-normal variates. WSC 2017: 1880-1890 - [c9]Zdravko I. Botev, Daniel MacKinlay, Yi-Lung Chen:
Logarithmically efficient estimation of the tail of the multivariate normal distribution. WSC 2017: 1903-1913 - 2016
- [j7]Zdravko I. Botev, Ad Ridder, Leonardo Rojas-Nandayapa:
Semiparametric cross entropy for rare-event simulation. J. Appl. Probab. 53(3): 633-649 (2016) - [j6]Radislav Vaisman, Zdravko I. Botev, Ad Ridder:
Sequential Monte Carlo for counting vertex covers in general graphs. Stat. Comput. 26(3): 591-607 (2016) - [j5]Zdravko I. Botev, Pierre L'Ecuyer, Richard J. Simard, Bruno Tuffin:
Static Network Reliability Estimation under the Marshall-Olkin Copula. ACM Trans. Model. Comput. Simul. 26(2): 14:1-14:28 (2016) - [c8]Zdravko I. Botev, Pierre L'Ecuyer:
Simulation from the Normal Distribution Truncated to an Interval in the Tail. VALUETOOLS 2016 - [c7]Zdravko I. Botev, Ad Ridder:
An M-estimator for rare-event probability estimation. WSC 2016: 359-369 - 2015
- [c6]Zdravko I. Botev, Pierre L'Ecuyer:
Efficient probability estimation and simulation of the truncated multivariate student-t distribution. WSC 2015: 380-391 - [c5]Zdravko I. Botev, Michel Mandjes, Ad Ridder:
Tail distribution of the maximum of correlated gaussian random variables. WSC 2015: 633-642 - 2014
- [c4]Zdravko I. Botev, Slava Vaisman, Reuven Y. Rubinstein, Pierre L'Ecuyer:
Reliability of stochastic flow networks with continuous link capacities. WSC 2014: 543-552 - 2013
- [j4]Zdravko I. Botev, Pierre L'Ecuyer, Gerardo Rubino, Richard J. Simard, Bruno Tuffin:
Static Network Reliability Estimation via Generalized Splitting. INFORMS J. Comput. 25(1): 56-71 (2013) - [j3]Zdravko I. Botev, Pierre L'Ecuyer, Bruno Tuffin:
Markov chain importance sampling with applications to rare event probability estimation. Stat. Comput. 23(2): 271-285 (2013) - 2012
- [j2]Zdravko I. Botev, Dirk P. Kroese:
Efficient Monte Carlo simulation via the generalized splitting method. Stat. Comput. 22(1): 1-16 (2012) - [c3]Zdravko I. Botev, Pierre L'Ecuyer, Bruno Tuffin:
Dependent failures in highly reliable static networks. WSC 2012: 39:1-39:12 - 2011
- [c2]Zdravko I. Botev, Pierre L'Ecuyer, Bruno Tuffin:
An importance sampling method based on a one-step look-ahead density from a Markov chain. WSC 2011: 528-539
2000 – 2009
- 2007
- [j1]Zdravko I. Botev, Dirk P. Kroese, Thomas Taimre:
Generalized Cross-entropy Methods with Applications to Rare-event Simulation and Optimization. Simul. 83(11): 785-806 (2007) - 2004
- [c1]Zdravko I. Botev, Dirk P. Kroese:
Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models. WSC 2004: 529-535
Coauthor Index
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