Dirk P Kroese - Google Scholar Citations

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Zdravko BotevUniversity of New South WalesVerified email at unsw.edu.au
Thomas TaimreLecturer, School of Mathematics and Physics, The University of Queensland, AustraliaVerified email at uq.edu.au
Volker SchmidtVerified email at uni-ulm.de
Tim BreretonPost doc, Institut für Stochastik, Universität UlmVerified email at uni-ulm.de
Jonathan KeithMonash UniversityVerified email at monash.edu
Pieter-Tjerk de BoerAssistant professor, University of TwenteVerified email at utwente.nl
Joshua ChanProfessor of Economics, Purdue UniversityVerified email at purdue.edu
Shie MannorProfessor of Electrical Engineering, TechnionVerified email at technion.ac.il
Werner ScheinhardtAssistant professor, University of TwenteVerified email at utwente.nl
Georgy SofronovMacquarie University, Sydney, AustraliaVerified email at mq.edu.au
Joseph GrotowskiProfessor of Mathematics, The University of QueenslandVerified email at maths.uq.edu.au
Qibin DuanKirby Institute, UNSWVerified email at kirby.unsw.edu.au
Søren AsmussenProfessor at Department of Mathematics, Aarhus UniversityVerified email at imf.au.dk
Sergey PorotskyChief ScientistVerified email at ald.co.il
Bean, NigelUniversity of AdelaideVerified email at adelaide.edu.au
Radislav (Slava) VaismanLecturer in in the School of Mathematics and PhysicsVerified email at uq.edu.au
Tal RavivTel Aviv university, Department of Industrial EngineeringVerified email at eng.tau.ac.il
Gad AllonVerified email at wharton.upenn.edu
Björn BaumeierEindhoven University of TechnologyVerified email at tue.nl
Owen JonesSchool of Mathematics, Cardiff UniversityVerified email at cardiff.ac.uk

Dirk P Kroese

Professor of Mathematics and Statistics, The University of Queensland

Verified email at maths.uq.edu.au - Homepage

Cross-entropy Method Monte Carlo Methods Simulation Computational Statistics Randomized Optimization


Title	Cited by	Year
Simulation and the Monte Carlo method RY Rubinstein, DP Kroese John Wiley and Sons, 2017	7001	2017
The cross-entropy method: a unified approach to combinatorial optimization, Monte-Carlo simulation and machine learning RY Rubinstein, DP Kroese Springer Science & Business Media, 2004	1423*	2004
Kernel density estimation via diffusion ZI Botev, JF Grotowski, DP Kroese The annals of Statistics 38 (5), 2916-2957, 2010	1071	2010
A tutorial on the cross-entropy method PT De Boer, DP Kroese, S Mannor, RY Rubinstein Annals of operations research 134 (1), 19-67, 2005	1052	2005
Handbook of Monte Carlo Methods DP Kroese, T Taimre, ZI Botev John Wiley and Sons, 2011	813	2011
The cross-entropy method for continuous multi-extremal optimization DP Kroese, S Porotsky, RY Rubinstein Methodology and Computing in Applied Probability 8 (3), 383-407, 2006	208	2006
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	196	2014
Application of the cross-entropy method to the buffer allocation problem in a simulation-based environment G Alon, DP Kroese, T Raviv, RY Rubinstein Annals of Operations Research 134 (1), 137-151, 2005	152	2005
Improved algorithms for rare event simulation with heavy tails S Asmussen, DP Kroese Advances in Applied Probability 38 (2), 545-558, 2006	136	2006
Convergence properties of the cross-entropy method for discrete optimization A Costa, OD Jones, D Kroese Operations Research Letters 35 (5), 573-580, 2007	108	2007
Efficient Monte Carlo simulation via the generalized splitting method ZI Botev, DP Kroese Statistics and Computing 22 (1), 1-16, 2012	98	2012
The cross-entropy method for network reliability estimation KP Hui, N Bean, M Kraetzl, DP Kroese Annals of Operations Research 134 (1), 101, 2005	92	2005
A comparison of RESTART implementations MJJ Garvels, DP Kroese Winter Simulation Conference, 1998. 1, 601-608, 1998	85	1998
An efficient algorithm for rare-event probability estimation, combinatorial optimization, and counting ZI Botev, DP Kroese Methodology and Computing in Applied Probability 10 (4), 471-505, 2008	82	2008
On the importance function in splitting simulation MJJ Garvels, JKCW Van Ommeren, DP Kroese European Transactions on Telecommunications 13 (4), 363-371, 2002	82	2002
Spatial process simulation DP Kroese, ZI Botev Stochastic geometry, spatial statistics and random fields, 369-404, 2015	76*	2015
Spectral properties of the tandem Jackson network, seen as a quasi-birth-and-death process DP Kroese, WRW Scheinhardt, PG Taylor The Annals of Applied Probability 14 (4), 2057-2089, 2004	75	2004
Efficient simulation of a tandem Jackson network DP Kroese, VF Nicola ACM Transactions on Modeling and Computer Simulation (TOMACS) 12 (2), 119-141, 2002	66	2002
Efficient estimation of large portfolio loss probabilities in t--copula models JCC Chan, DP Kroese European Journal of Operational Research 205 (2), 361-367, 2010	65	2010
Network reliability optimization via the cross-entropy method DP Kroese, KP Hui, S Nariai IEEE Trans. Reliability 56 (2), 275-287, 2007	64	2007

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