Thomas G. Kurtz

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Philip ProtterProfessor of Statistics, Columbia UniversityVerified email at columbia.edu
sylvie MELEARDVerified email at polytechnique.edu
David F. AndersonProfessor of Mathematics at the University of Wisconsin in MadisonVerified email at math.wisc.edu
Richard H StockbridgeProfessor of Mathematical Sciences, University of Wisconsin - MilwaukeeVerified email at uwm.edu
lea popovicconcordia universityVerified email at concordia.ca
Hye-Won KangAssociate Professor of Department of Mathematics and Statistics, University of Maryland BaltimoreVerified email at umbc.edu
Cristina CostantiniUniversità di Chieti-PescaraVerified email at unich.it
Gheorghe CraciunUniversity of Wisconsin-MadisonVerified email at math.wisc.edu
William SetharesProfessor of Electrical Engineering, University of WisconsinVerified email at wisc.edu
Nancy GarciaUnicampVerified email at ime.unicamp.br
Grzegorz A RempalaOhio State UniversityVerified email at osu.edu
Dan CrisanProfessor of Mathematics, Imperial College LondonVerified email at imperial.ac.uk
Paul Joyce 1958-2016Professor of Mathematics and Statistics, University of IdahoVerified email at uidaho.edu
Daniele CappellettiPolitecnico di TorinoVerified email at polito.it
Arnab GangulyLSUVerified email at lsu.edu
Russell LyonsProfessor of Mathematics, Indiana UniversityVerified email at indiana.edu
Yuval Peresyuvalperes.comVerified email at yuvalperes.com
Alison EtheridgeProfessor of Probability, University of OxfordVerified email at stats.ox.ac.uk
Jim DaiCornell University and The Chinese University of Hong Kong, ShenzhenVerified email at cornell.edu
Somesh JhaLubar Chair of Computer Science, University of WisconsinVerified email at cs.wisc.edu

Thomas G. Kurtz

Professor Emeritus, Mathematics and Statistics, University of Wisconsin-Madiso

Verified email at math.wisc.edu - Homepage

Stochastic processes Probability Markov processes Stochastic Analysis Weak Approximation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Markov processes: characterization and convergence SN Ethier, TG Kurtz John Wiley & Sons, 2009	8891	2009
Solutions of ordinary differential equations as limits of pure jump Markov processes TG Kurtz Journal of applied Probability 7 (1), 49-58, 1970	1128	1970
Approximation of population processes TG Kurtz Society for Industrial and Applied Mathematics, 1981	719	1981
Limit theorems for sequences of jump Markov processes approximating ordinary differential processes TG Kurtz Journal of Applied Probability 8 (2), 344-356, 1971	713	1971
Weak limit theorems for stochastic integrals and stochastic differential equations TG Kurtz, P Protter The Annals of Probability, 1035-1070, 1991	697	1991
Strong approximation theorems for density dependent Markov chains TG Kurtz Stochastic Processes and their Applications 6 (3), 223-240, 1978	655	1978
The relationship between stochastic and deterministic models for chemical reactions TG Kurtz The Journal of Chemical Physics 57 (7), 2976-2978, 1972	648	1972
Large deviations for stochastic processes J Feng, TG Kurtz American Mathematical Soc., 2006	542	2006
The changing nature of network traffic: Scaling phenomena A Feldmann, AC Gilbert, W Willinger, TG Kurtz ACM SIGCOMM Computer Communication Review 28 (2), 5-29, 1998	509	1998
Asymptotic behaviour of some interacting particle systems; McKean-Vlasov and Boltzmann models C Graham, TG Kurtz, S Méléard, PE Protter, M Pulvirenti, D Talay, ... Probabilistic Models for Nonlinear Partial Differential Equations: Lectures …, 1996	435	1996
Continuous time Markov chain models for chemical reaction networks DF Anderson, TG Kurtz Design and analysis of biomolecular circuits: engineering approaches to …, 2011	342	2011
Particle representations for measure-valued population models P Donnelly, TG Kurtz The Annals of Probability 27 (1), 166-205, 1999	334	1999
A limit theorem for perturbed operator semigroups with applications to random evolutions TG Kurtz Journal of Functional Analysis 12 (1), 55-67, 1973	285	1973
Product-form stationary distributions for deficiency zero chemical reaction networks DF Anderson, G Craciun, TG Kurtz Bulletin of mathematical biology 72, 1947-1970, 2010	271	2010
Markov processes: characterization and convergence, vol. 282 SN Ethier, TG Kurtz John Wiley & Sons, 2009	245	2009
Fleming–Viot processes in population genetics SN Ethier, TG Kurtz SIAM Journal on Control and Optimization 31 (2), 345-386, 1993	244	1993
Stochastic analysis of biochemical systems DF Anderson, TG Kurtz Springer International Publishing, 2015	237	2015
Asymptotic analysis of multiscale approximations to reaction networks K Ball, TG Kurtz, L Popovic, G Rempala	237	2006
A countable representation of the Fleming-Viot measure-valued diffusion P Donnelly, TG Kurtz The Annals of Probability 24 (2), 698-742, 1996	221	1996
Particle representations for a class of nonlinear SPDEs TG Kurtz, J Xiong Stochastic Processes and their Applications 83 (1), 103-126, 1999	218	1999

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