An algorithm for the computation of a maximum likelihood estimate of the offspring distribution in a Bienaymé-Galton-Watson branching process is presented. Although the offspring distribution in ...

We show that the random point measures induced by vertices in the convex hull of a Poisson sample on the unit ball, when properly scaled and centered, converge to those of a mean zero Gaussian field.

Journal of Applied Probability, Vol. 10, No. 2 (Jun., 1973), pp. 447-450 (4 pages) The asymptotic properties of the unique stationary measure of a Markov branching process will be given. In the ...

Stochastic processes form the backbone of modern probability theory, describing systems that evolve randomly over time or space. They are instrumental in areas ranging from statistical physics to ...