Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models. - Zdravko I. Botev; Dirk P. Kroese (WSC, 2004)

Generalized Cross-entropy Methods with Applications to Rare-event Simulation and Optimization. - Zdravko I. Botev; Dirk P. Kroese; Thomas Taimre (Simul., 2007)

An importance sampling method based on a one-step look-ahead density from a Markov chain. - Zdravko I. Botev; Pierre L'Ecuyer; Bruno Tuffin (WSC, 2011)

Dependent failures in highly reliable static networks. - Zdravko I. Botev; Pierre L'Ecuyer; Bruno Tuffin (WSC, 2012)

Efficient Monte Carlo simulation via the generalized splitting method. - Zdravko I. Botev; Dirk P. Kroese (Stat. Comput., 2012)

Static Network Reliability Estimation via Generalized Splitting. - Zdravko I. Botev; Pierre L'Ecuyer; Gerardo Rubino; Richard J. Simard; Bruno Tuffin (INFORMS J. Comput., 2013)

Markov chain importance sampling with applications to rare event probability estimation. - Zdravko I. Botev; Pierre L'Ecuyer; Bruno Tuffin (Stat. Comput., 2013)

Reliability of stochastic flow networks with continuous link capacities. - Zdravko I. Botev; Slava Vaisman; Reuven Y. Rubinstein; Pierre L'Ecuyer (WSC, 2014)

Efficient probability estimation and simulation of the truncated multivariate student-t distribution. - Zdravko I. Botev; Pierre L'Ecuyer (WSC, 2015)

Tail distribution of the maximum of correlated gaussian random variables. - Zdravko I. Botev; Michel Mandjes; Ad Ridder (WSC, 2015)

Simulation from the Normal Distribution Truncated to an Interval in the Tail. - Zdravko I. Botev; Pierre L'Ecuyer (VALUETOOLS, 2016)

An M-estimator for rare-event probability estimation. - Zdravko I. Botev; Ad Ridder (WSC, 2016)

Semiparametric cross entropy for rare-event simulation. - Zdravko I. Botev; Ad Ridder; Leonardo Rojas-Nandayapa (J. Appl. Probab., 2016)

Sequential Monte Carlo for counting vertex covers in general graphs. - Radislav Vaisman; Zdravko I. Botev; Ad Ridder (Stat. Comput., 2016)

Static Network Reliability Estimation under the Marshall-Olkin Copula. - Zdravko I. Botev; Pierre L'Ecuyer; Richard J. Simard; Bruno Tuffin (ACM Trans. Model. Comput. Simul., 2016)

Accurate computation of the right tail of the sum of dependent log-normal variates. - Zdravko I. Botev; Pierre L'Ecuyer (WSC, 2017)

Logarithmically efficient estimation of the tail of the multivariate normal distribution. - Zdravko I. Botev; Daniel MacKinlay; Yi-Lung Chen (WSC, 2017)

Importance Sampling Estimator of Outage Probability under Generalized Selection Combining Model. - Nadhir Ben Rached; Zdravko I. Botev; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (ICASSP, 2018)

Exact posterior simulation from the linear Lasso Regression. - Zdravko I. Botev; Yi-Lung Chen; Pierre L'Ecuyer; Shev MacNamara; Dirk P. Kroese (WSC, 2018)

On a generalized splitting method for Sampling from a Conditional Distribution. - Pierre L'Ecuyer; Zdravko I. Botev; Dirk P. Kroese (WSC, 2018)

On the Sum of Order Statistics and Applications to Wireless Communication Systems Performances. - Nadhir Ben Rached; Zdravko I. Botev; Abla Kammoun; Mohamed-Slim Alouini; Raúl Tempone (IEEE Trans. Wirel. Commun., 2018)

Simulation from the Tail of the Univariate and Multivariate Normal Distribution. - Zdravko I. Botev; Pierre L'Ecuyer (Systems Modeling: Methodologies and Tools, 2019)

Mosaic Style Transfer Using Sparse Autocorrelograms. - Daniel MacKinlay; Zdravko I. Botev (ISMIR, 2019)

Fast and accurate computation of the distribution of sums of dependent log-normals. - Zdravko I. Botev; Robert Salomone; Daniel MacKinlay (Ann. Oper. Res., 2019)

Monte Carlo estimation of the density of the sum of dependent random variables. - Patrick J. Laub; Robert Salomone; Zdravko I. Botev (Math. Comput. Simul., 2019)

Sampling Conditionally on a Rare Event via Generalized Splitting. - Zdravko I. Botev; Pierre L'Ecuyer (INFORMS J. Comput., 2020)

A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems. - Nadhir Ben Rached; Daniel MacKinlay; Zdravko I. Botev; Raúl Tempone; Mohamed-Slim Alouini (IEEE Trans. Wirel. Commun., 2020)

Variance Reduction for Matrix Computations with Applications to Gaussian Processes. - Anant Mathur; Sarat Babu Moka; Zdravko Botev (VALUETOOLS, 2021)

Estimation When Both Covariance and Precision Matrices are Sparse. - Shev MacNamara; Erik Schlögl; Zdravko I. Botev (WSC, 2021)

Coordinate Descent for Variance-Component Models. - Anant Mathur; Sarat Babu Moka; Zdravko Botev (Algorithms, 2022)

Column Subset Selection and Nyström Approximation via Continuous Optimization. - Anant Mathur; Sarat Babu Moka; Zdravko Botev (WSC, 2023)

Group Combss: Group Selection Via Continuous Optimization. - Anant Mathur; Sarat Babu Moka; Benoit Liquet; Zdravko Botev (WSC, 2024)