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Dive into the research topics where Eric Renshaw is active.

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Featured researches published by Eric Renshaw.


Probability Theory and Related Fields | 1990

Markov branching processes with instantaneous immigration

Anyue Chen; Eric Renshaw

SummaryMarkov branching processes with instantaneous immigration possess the property that immigration occurs immediately the number of particles reaches zero, i.e. the conditional expectation of sojourn time at zero is zero. In this paper we consider the existence and uniqueness of such a structure. We prove that if the sum of the immigration rates is finite then no such structure can exist, and we provide a necessary and sufficient condition for existence for the case in which this sum is infinite. Study of the uniqueness problem shows that for honest processes the solution is unique.


Journal of Applied Probability | 1984

A CORRELATED RANDOM WALK MODEL FOR TWO-DIMENSIONAL DIFFUSION

Robin Henderson; Eric Renshaw; David Ford

A two-dimensional lattice random walk is studied in which, at each stage, the direction of the next step is correlated to that of the previous step. An exact expression is obtained from the characteristic function for the dispersion matrix of the n-step transition probabilities, and the limiting diffusion equation is derived.


Journal of Applied Probability | 1983

A NOTE ON THE RECURRENCE OF A CORRELATED RANDOM WALK

Robin Henderson; British Nuclear Fuels Ltd; Eric Renshaw; David Ford

A non-analytical proof of recurrence is obtained via an embedding procedure for a two-dimensional correlated lattice random walk.


Journal of Applied Probability | 1988

The high-order autocovariance structure of the telegraph wave

Eric Renshaw

Exact expressions are developed for the n th order autocovariance structure of the telegraph wave, the integral of which defines a biased correlated random walk.


Journal of Applied Probability | 1980

The spatial distribution of Tribolium confusum

Eric Renshaw

Neyman, Park and Scott (1956) describe an experiment which they performed to determine the spatial distribution of Tribolium confusum developing within a closed container. To explain the concentration of beetles at the boundary a birth-death-migration model is developed in which the beetles may migrate over a set of lattice points, and this is shown to produce a distribution of the required shape. Not only is this distribution independent of the number of lattice points, but it is also indistinguishable from the associated diffusion process. TRIBOLIUM CONFUSUM; SPATIAL POPULATION PROCESS; LATTICE; BIRTH, DEATH AND MIGRATION; DIFFUSION


Journal of Applied Probability | 1981

THE CORRELATED RANDOM WALK

Eric Renshaw; Robin Henderson


Journal of Applied Probability | 1994

The general correlated random walk

Anyue Chen; Eric Renshaw


Journal of Applied Probability | 1992

The Gillis–Domb–Fisher correlated random walk

Anyue Chen; Eric Renshaw


Journal of Applied Probability | 1987

THE DISCRETE UHLENBECK-ORNSTEIN PROCESS

Eric Renshaw


Journal of Applied Probability | 1977

Velocities of propagation for stepping-stone models of population growth

Eric Renshaw

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Anyue Chen

University of Liverpool

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