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Kingman J.F.C., Reuter G.E.H. (eds.) Probability, Statistics and Analysis

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Kingman J.F.C., Reuter G.E.H. (eds.) Probability, Statistics and Analysis
Cambridge: Cambridge University Press, 1983. — 300 p.
This collection of papers is dedicated to David Kendall, the topics will interest postgraduate and research mathematicians.
The asymptotic speed and shape of a particle system
On doubly stochastic population processes
On limit theorems for occupation times
The Martin boundary of two dimensional Ornstein-Uhlenbeck processes
Green's and Dirichlet spaces for a symmetric Markov transition function
On a theorem of Kabanov, Liptser and Sirjaev
Oxford Commemoration Ball
Invariant measures and the q-matrix
The appearance of a multivariate exponential distribution in sojourn times for birth-death and diffusion processes
Three unsolved problems in discrete Markov theory
The electrostatic capacity of an ellipsoid
Stationary one-dimensional Markov random fields with a continuous state space
A uniform central limit theorem for partial-sum processes indexed by sets
Multidimensional randomness
Some properties of a test for multimodality based on kernel density estimates
Criteria for rates of convergence of Markov chains, with application to queueing and storage theory
Competition and bottle-necks
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