Professor of Statistics
Department of StatisticsOn this web site you can find a list of papers, preprints, and talks.
Other professional activities include member of the SemStat steering group, associate editor for Bernoulli, and acting as an associate editor for the Journal of Computational Biology.
Recently I have also become an EPSRC Advanced Fellow in connection with the CABDyN Research Cluster on complex agent-based dynamic networks.
N.F. Johnson, M. Spagat, S. Gourley, J.-P. Onnela, G. Reinert (2008). Bias in epidemiological studies of conflict mortality. Journal of Peace Research, 45 (5), September 2008, pp.653-663.
P. Chen, C. Deane, G. Reinert (2008). Predicting and validating protein interactions using network structure. PLoS Computational Biology 4 (7): e1000118.Pdf file.
G. Reinert, M.S. Waterman (2008). On the length of the longest exact position match in a Markov sequence. IWAP (International Workshop on Applied Probability) 2008 Conference Proceedings, to appear. Pdf file . Extended version.
P. Eichelsbacher and G. Reinert (2008). Stein's method for discrete Gibbs measures. The Annals of Applied Probability 2008, 18, No. 4, 1588--1618 Pdf file.
G. Reinert and M.S. Waterman (2007). On the length of the longest exact position match in a random sequence. Transactions on Computational Biology and Bioinformatics 4, 153 - 156. Pdf file.
P. Chen, C. Deane, G. Reinert (2007). A statistical approach using network structure in the prediction of protein characteristics. Bioinformatics 23, 2314-2321.Pdf file.
L. Goldstein and G. Reinert (2006). Total Variation Distance for
Poisson Subset Numbers. Annals of
Combinatorics (2006), vol 10, 333--341.Pdf
file.
A.D. Barbour and G. Reinert (2006). Discrete small world networks.
Electronic J. Probab. 11, 1234--1283 (2006).
Pdf file.
G. Reinert (2005). Three general approaches to Stein's method. In: A Program in Honour of Charles Stein: Tutorial Lecture Notes. A.D. Barbour, L.H.Y. Chen, eds. World Scientific, Singapore (2005), 183-221. Last draft: Pdf file
Goldstein and G. Reinert (2005). Zero biasing in one and higher dimensions, and applications. In: Proceedings of the conference in honor of Charles Stein, A.D. Barbour, L.H.Y. Chen, eds. World Scientific, Singapore (2005), 1-18. Last draft: Pdf file
L. Goldstein and G. Reinert (2005). Distributional transformations, orthogonal polynomials, and Stein characterizations. Jour. Theor. Probab. vol 18, pp185-208. Pdf file
In Russian: Obozr. Prikl. Prom. Mat., (OP&PM Surveys in Applied and Industrial Mathematics) 2006, v. 13, No. 1, pp. 28--50. Pdf file.
G. Reinert, S. Schbath, and M.S. Waterman (2005). Probabilistic and Statistical Properties of Finite Words in Finite Sequences. In: Lothaire: Applied Combinatorics on Words, Cambridge University Press, J. Berstel, D. Perrin, eds. Postscript
S. Holmes and G. Reinert (2004). Stein's method for the bootstrap. In: Stein's Method: Expository Lectures and Applications. IMS Lecture Notes 46, Hayward, P. Diaconis and S. Holmes, eds., 95-133. Pdf
M. Huber and G. Reinert (2004). The stationary distribution in the antivoter model: Exact Sampling and Approximations. In: Stein's Method: Expository Lectures and Applications. IMS Lecture Notes 46, Hayward, P. Diaconis and S. Holmes, eds., 79-93. Postscript
A.D. Barbour and G. Reinert (2003). Small world networks. Extended abstract for MaPhySto and Dynstoch Workshop on Dynamical Stochastic Modelling in Biology, Copenhagen 2003. Pdf file
A.D. Barbour and G. Reinert (2001). Small Worlds. Random Structures and algorithms 19, 54 - 74. Postscript Pdf file
G. Reinert (2001). Stein's method for epidemic processes. In Complex Stochastic Systems. O.E. Barndorff-Nielsen, D.R. Cox and C. Klueppelberg, eds., Chapman and Hall, Boca Raton etc., 235 -275. Postscript Pdf file
A.D. Barbour, R. Gerrard and G. Reinert (2000). Iterates of expanding maps. Probab. Theory Rel. Fields 116, 151 - 180. Postscript Pdf file
G. Reinert, S. Schbath, and M.S. Waterman (2000). Probabilistic and Statistical Properties of Words. J. Comp. Bio. 7, 1 - 46. Postscript Pdf file
G. Reinert (1999). An introduction to Stein's method and application to empirical measures. In Modelos Estocasticos. M.Gonzalez Barrios and L.G.Gorostiza, eds., Sociedad Matematica Mexicana, 65 - 120. (Proceedings of the Symposium on Probability and Stochastic Processes, Guanajuato, Mexico). Postscript Pdf file
G. Reinert and S. Schbath (1999). Compound Poisson approximations for occurrences of multiple words. In Statistics in Molecular Biology and Genetics. F. Seiller-Moiseiwitsch, ed., IMS Lecture Notes, Providence, 257 -275. Postscript
G. Reinert and S. Schbath (1998). Compound Poisson and Poisson process approximations for occurrences of multiple words. J. Comp. Bio. 5, 223 - 253. Postscript
G. Reinert (1998). Couplings for normal approximations with Stein's method. In Microsurveys in Discrete Probability. D. Aldous, J. Propp eds., Dimacs series. AMS, 193 - 207. Postscript Pdf file
L. Goldstein and G. Reinert (1997). Stein's method and the zero bias transformation with application to simple random sampling. Ann. Appl. Probab. 7, 935 - 952. Postscript
L. Goldstein and G. Reinert (1997). Stein's method and the zero bias transformation with application to simple random sampling. USC Technical report. Postscript
R. Arratia, D. Martin, G. Reinert and M. S. Waterman (1996). Poisson approximation for long repeats in a random sequence with application to sequencing by hybridization. J. Comp. Biol. 3, 425 - 463. Postscript
G. Reinert (1995). A weak law of large numbers for empirical measures
via Stein's method. Ann. Probab. 23, 334 - 354.
G. Reinert (1995). The asymptotic evolution of the General Stochastic
Epidemic. Ann. Appl. Probab. 5, 1061 - 1086.
J.-P. Onnela, N. F. Johnson, S. Gourley, G. Reinert, M. Spagat (2008). Sampling bias due to structural heterogeneity and limited internal diffusion. Submitted; available at arXiv:0807.4420v1 [physics.soc-ph].Pdf file.
G. Reinert, A. Röllin (2008). Multivariate normal approximation with Stein's method of exchangeable pairs under a general linearity condition. Submitted.Pdf file.
G. Reinert (2001). Assessing the distance to the Gaussian distribution for random measures via Stein's method. In revision. Postscript
A short introduction to Stein's method.
Bootstrapping in regular graphs.
Statistics for Watts-Strogatz Small World networks.
Statistical Inference for Networks: graduate lecture