Hsing, Tailen On the characterization of certain point processes. (English) Zbl 0645.60057 Stochastic Processes Appl. 26, 297-316 (1987). This paper consists of two parts. First, a characterization is obtained for a class of infinitely divisible point processes on \({\mathbb{R}}\times {\mathbb{R}}_+'=(-\infty\), \(\infty)\times (0,\infty)\). Second, the result is applied to identify the weak limit of the point process \(N_ n\) with points (j/n, \(u_ n^{-1}(\xi_ j))\), \(j=0\), \(\pm 1\), \(\pm 2\),..., where \(\{\xi_ j\}\) is a stationary sequence satisfying a certain mixed condition \(\Delta\), and \(\{u_ n\}\) is a sequence of nonincreasing functions on (0,\(\infty)\) such that \[ \lim_{n\to \infty}P\{\max_{1\leq j\leq n}\xi_ j\leq u_ n(\tau)\}=e^{- \tau},\quad \tau >0. \] This application extends a result of T. Mori [Yokohama Math. J. 25, 155-168 (1977; Zbl 0374.60010)], which assumes that \(\{\xi_ j\}\) is \(\alpha\)-mixing, and that the distribution of \(\max_{1\leq j\leq n}\xi_ j\) can be linearly normalized to converge to a maximum stable distribution. Cited in 17 Documents MSC: 60G55 Point processes (e.g., Poisson, Cox, Hawkes processes) 60F05 Central limit and other weak theorems 60G10 Stationary stochastic processes Keywords:infinitely divisible point processes; maximum stable distribution Citations:Zbl 0374.60010 PDF BibTeX XML Cite \textit{T. Hsing}, Stochastic Processes Appl. 26, 297--316 (1987; Zbl 0645.60057) Full Text: DOI OpenURL References: [1] Adler, R.J., Weak convergence results for extremal processes generated by dependent random variables, Ann. probab., 6, 660-667, (1978) · Zbl 0377.60027 [2] Billingsley, P., Convergence of probability measures, (1968), Wiley New York · Zbl 0172.21201 [3] Davis, R.; Resnick, S., Limit theory for moving averages of random variables with regularly varying tail probabilities, Ann. probab., 13, 179-195, (1986) · Zbl 0562.60026 [4] Dwass, M., Extremal processes, Ann. math. statist., 35, 1718-1725, (1964) · Zbl 0171.38801 [5] Hsing, T., Point processes associated with extreme value theory, () [6] Hsing, T.; Hüsler, J.; Leadbetter, M.R., On the exceedance point process for a stationary sequence, () · Zbl 0619.60054 [7] Hsing, T., On the extreme order statistics for a stationary sequence, () · Zbl 0654.60021 [8] Kallenberg, O., Random measures, (1983), Akademie-Verlag Berlin, Academic Press, London, New York · Zbl 0288.60053 [9] Lamperti, J., On extreme order statistics, Ann. math. statist., 35, 1726-1737, (1964) · Zbl 0132.39502 [10] Leadbetter, M.R., On extreme value in stationary sequences, Z. wahrsch. verw. geb., 28, 289-303, (1974) · Zbl 0265.60019 [11] Leadbetter, M.R., Weak convergence of high level exceedances by a stationary sequence, Z. wahrsch. verw. geb., 34, 11-15, (1976) · Zbl 0339.60028 [12] Leadbetter, M.R.; Lindgren, G.; Rootzén, H., Extremes and related properties of random sequencees and processes, () · Zbl 0518.60021 [13] Matthes, K.; Kerstan, J.; Mecke, J., Infinitely divisible point processes, (1978), Wiley New York · Zbl 0383.60001 [14] Mori, T., Limit distributions of two-dimensional point processes generated by strong mixing sequences, Yokohama math. J., 25, 155-168, (1977) · Zbl 0374.60010 [15] O’Brien, G.L., Extreme values for stationary and Markov sequences, Ann. probab., 15, 281-289, (1987) · Zbl 0619.60025 [16] Parthasarathy, K.R., Probability measures on metric spaces, (1967), Academic Press New York · Zbl 0153.19101 [17] Pickands, J., The two dimensional Poisson process and external processes, J. appl. prob., 8, 745-756, (1971) · Zbl 0242.62024 [18] Resnick, S.I., Weak convergence to extreme processes, Ann. probab., 3, 951-960, (1975) · Zbl 0322.60024 [19] Rootzén, H., Extremes of moving averages of stable processes, Ann. probab., 6, 847, (1978) · Zbl 0394.60025 [20] Rootzén, H., Extreme value theory for moving average processes, Ann. probab., 14, 612-652, (1986) · Zbl 0604.60019 [21] Wiessman, I., Multivariate extremal processes generated by independent non-identically distributed variables, J. appl. prob., 12, 477-487, (1975) This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.