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The Correct Asymptotic Variance for the Sample Mean of a Homogeneous Poisson Marked Point Process

Published online by Cambridge University Press:  30 January 2018

William Garner*
Affiliation:
University of California at San Diego
Dimitris N. Politis*
Affiliation:
University of California at San Diego
*
Postal address: Department of Mathematics, University of California at San Diego, La Jolla, CA 92093, USA.
Postal address: Department of Mathematics, University of California at San Diego, La Jolla, CA 92093, USA.
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Abstract

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The asymptotic variance of the sample mean of a homogeneous Poisson marked point process has been studied in the literature, but confusion has arisen as to the correct expression due to some technical intricacies. This note sets the record straight with regards to the variance of the sample mean. In addition, a central limit theorem in the general d-dimensional case is also established.

Type
Research Article
Copyright
© Applied Probability Trust 

References

Ballani, F., Kabluchko, Z. and Schlather, M. (2012). Random marked sets. Adv. Appl. Prob. 44, 603616.Google Scholar
Brillinger, D. R. (1973). Estimation of the mean of a stationary time series by sampling. J. Appl. Prob. 10, 419431.CrossRefGoogle Scholar
Ivanov, A. V. and Leonenko, N. N. (1986). Statistical Analysis of Random Fields. Kluwer Publishers, Dordrecht.Google Scholar
Karr, A. F. (1986). Inference for stationary random fields given Poisson samples. Adv. Appl. Prob. 18, 406422.Google Scholar
Karr, A. F. (1991). Point Processes and Their Statistical Inference, 2nd edn. Marcel Dekker, New York.Google Scholar
Kutoyants, Y. A. (1984a). On nonparametric estimation of intensity function of inhomogeneous Poisson process. Problems Control Inf. Theory 13, 253258.Google Scholar
Kutoyants, Y. A. (1984b). Parameter Estimation for Stochastic Processes (Res. Exposition Math. 6). Heldermann, Berlin.Google Scholar
Masry, E. (1983). Nonparametric covariance estimation from irregularly-spaced data. Adv. Appl. Prob. 15, 113132.CrossRefGoogle Scholar
Politis, D. N., Paparoditis, E. and Romano, J. P. (1999). Resampling marked point processes. In Multivariate Analysis, Design of Experiments, and Survey Sampling (Statist. Textbooks Monogr. 159), ed. Ghosh, Subir, Marcel Dekker, New York, pp. 163185.Google Scholar