Abstract
We use supercritical branching processes with random walk steps of geometrically decreasing size to construct random measures. Special cases of our construction give close relatives of the super-(spherically symmetric stable) processes. However, other cases can produce measures with very smooth densities in any dimension.
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REFERENCES
Dawson, D. A., (1992). Infinitely divisible random measures and superprocesses Proce. 1990 Workshop on Stoch. Anal. and Rel. Topics, Silivri, Turkey, Birkhauser.
Dawson, D. A. (1993). Measure-valued Markov processes. St. Flour Lecture Notes, springer Lecture Notes in Math., Vol. 141.
Dawson, D. A., and Perkins, E. A. (1991). Historical Processes. Memoris of the AMS No. 454.
Durrett, R. (1991). Probability: Theory and Examples. Wadsowrth Pub. Co., Belmont, California.
Ethier, S., and Kurtz, T. (1986). Markov Processes: Characterization and Convergence. John Wiley and Sons, New York.
Evans, S. N. (1988a). Continuity properties of Gaussian stochastic processes indexed by a local field. Proc. London. Math. Soc. 56, 380–416.
Evans, S. N. (1988b). Sample path properties of Gaussian stochastic processes indexed by a local field. Proc. London. Math. Soc. 56, 580–624.
Evans, S. N., and Perkins, E. A. (1991). Absolute continuity results for superprocesses with some applications. Trans. Am. Math. Soc. 325, 661–681.
Harris, T. E. (1963). Branching Processes. Springer-Verlag, New York.
Hawkes, J. (1981). Trees generated by a simple branching process. J. London Math. Soc. 24, 373–384.
Kallenberg, O. (1983). Random Measures. Third Edition. Akademie-Berlag, Berlin.
Konno, N., and Shiga, T. (1988). Stochastic differential equations for some measurevalued diffusions. Prob. Th. Rel. Fields. 79, 201–225.
Mandelbrot, B. (1982). The Fractal Geometry of Nature. W. H. Freeman, New York.
Reimers, M. (1989). One dimensional stochastic partial differential equations and the branching measure diffusion. Prob. Th. Rel. Fields 81, 319–340.
Roelly-Coppoletta, S. (1986). A criterion of convergence of measure-valued processes: application to measure-valued branching. Stochastics 17, 43–65.
Rudin, W. (1991). Functional Analysis. Second Edition. McGraw-Hill, New York.
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Allouba, H., Durrett, R., Hawkes, J. et al. Super-Tree Random Measures. Journal of Theoretical Probability 10, 773–794 (1997). https://doi.org/10.1023/A:1022666030740
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DOI: https://doi.org/10.1023/A:1022666030740