Advances in Applied Probability

Maximum likelihood estimation for cooperative sequential adsorption

Mathew D. Penrose and Vadim Shcherbakov
Source: Adv. in Appl. Probab. Volume 41, Number 4 (2009), 978-1001.

Abstract

We consider a model for a time series of spatial locations, in which points are placed sequentially at random into an initially empty region of ℝd, and given the current configuration of points, the likelihood at location x for the next particle is proportional to a specified function βk of the current number (k) of points within a specified distance of x. We show that the maximum likelihood estimator of the parameters βk (assumed to be zero for k exceeding some fixed threshold) is consistent in the thermo\-dynamic limit where the number of points grows in proportion to the size of the region.

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Primary Subjects: 62M30, 60K35
Secondary Subjects: 60D05
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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aap/1261669581
Digital Object Identifier: doi:10.1239/aap/1261669581
Zentralblatt MATH identifier: 1186.62115
Mathematical Reviews number (MathSciNet): MR2663231

References

Brillinger, D. R., Robinson, E. A. and Schoenberg, F. P. (eds) (2004). Time Series Analysis and Applications to Geophysical Systems (IMA Vol. Math. Appl. 139). Springer, New York.
Mathematical Reviews (MathSciNet): MR2111481
Zentralblatt MATH: 1051.86001
Cadilhe, A., Araujo, N. A. M. and Privman, V. (2007). Random sequential adsorption: from continuum to lattice and pre-patterned substrates. J. Phys. Cond. Matter 19, 065124, 12 pp.
Evans, J. W. (1993). Random and cooperative sequential adsorption. Rev. Modern Phys. 65, 1281--1329.
Geyer, C. J. (1999). Likelihood inference for spatial point processes. In Stochastic Geometry (Toulouse, 1996; Monogr. Statist. Appl. Prob. 80), eds O. Barndorff-Nielsen, W. S. Kendall and M. N. M. van Lieshout, Chapman and Hall/CRC, Boca Raton, FL, pp. 79--140.
Mathematical Reviews (MathSciNet): MR1673118
Zentralblatt MATH: 0809.62089
Geyer, C. J. and Møller, J. (1994). Simulation procedures and likelihood inference for spatial point processes. Scand. J. Statist. 21, 359--373.
Mathematical Reviews (MathSciNet): MR1310082
Lehmann, E. L. and Casella, G. (1998). Theory of Point Estimation. Springer, New York.
Mathematical Reviews (MathSciNet): MR1639875
Møller, J. and Waagepetersen, R. P. (2004). Statistical Inference and Simulation for Spatial Point Processes. Chapman and Hall/CRC, Boca Raton, FL.
Mathematical Reviews (MathSciNet): MR2004226
Penrose, M. D. (2001). Random parking, sequential adsorption, and the jamming limit. \CMP 218, 153--176.
Mathematical Reviews (MathSciNet): MR1824203
Zentralblatt MATH: 0980.60020
Digital Object Identifier: doi:10.1007/s002200100387
Penrose, M. D. (2007). Laws of large numbers in stochastic geometry with statistical applications. Bernoulli 13, 1124--1150.
Mathematical Reviews (MathSciNet): MR2364229
Digital Object Identifier: doi:10.3150/07-BEJ5167
Project Euclid: euclid.bj/1194625605
Penrose, M. D. (2008). Existence and spatial limit theorems for lattice and continuum particle systems. Prob. Surveys 5, 1--36.
Mathematical Reviews (MathSciNet): MR2395152
Digital Object Identifier: doi:10.1214/07-PS112
Project Euclid: euclid.ps/1207254889
Penrose, M. D. and Yukich, J. E. (2002). Limit theory for random sequential packing and deposition. Ann. Appl. Prob. 12, 272--301.
Mathematical Reviews (MathSciNet): MR1890065
Zentralblatt MATH: 1018.60023
Digital Object Identifier: doi:10.1214/aoap/1015961164
Project Euclid: euclid.aoap/1015961164
Privman, V. (ed.) (2000). Adhesion of Submicron Particles on Solid Surfaces (Colloids and Surfaces A Spec. Vol. 165), Elsevier BV.
Shcherbakov, V. (2006). Limit theorems for random point measures generated by cooperative sequential adsorption. J. Statist. Phys. 124, 1425--1441.
Mathematical Reviews (MathSciNet): MR2266450
Zentralblatt MATH: 1151.82376
Digital Object Identifier: doi:10.1007/s10955-006-9170-3
Shcherbakov, V. (2009). On a model of sequential point patterns. Ann. Inst. Statist. Math. 61, 371--390.
Mathematical Reviews (MathSciNet): MR2505394
Zentralblatt MATH: 05609644
Digital Object Identifier: doi:10.1007/s10463-007-0147-z
Van Leishout, M. N. M. (2006). Maximum likelihood estimation for random sequential adsorption. ÅP 38, 889--898.
Mathematical Reviews (MathSciNet): MR2285686
Zentralblatt MATH: 1148.62311
Digital Object Identifier: doi:10.1239/aap/1165414584
Project Euclid: euclid.aap/1165414584
Van Lieshout, M. N. M. (2006). Markovianity in space and time. In Dynamics and Stochastics (Lecture Notes Monogr. Ser. 48), eds D. Denteneer, F. den Hollander and E. Verbitskiy, Institute for Mathematical Statistics, Beachwood, OH, pp. 154--168.
Mathematical Reviews (MathSciNet): MR2306197
Zentralblatt MATH: 1131.60044
Zhuang, J., Ogata, Y. and Vere-Jones, D. (2002). Stochastic declustering of space-time earthquake occurrences. \JASA 97, 369--380.
Mathematical Reviews (MathSciNet): MR1941459
Zentralblatt MATH: 1073.62558
Digital Object Identifier: doi:10.1198/016214502760046925

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Advances in Applied Probability

Advances in Applied Probability