Results 291 to 300 of about 220,579 (315)
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Stochasticity, invasions, and branching random walks

Theoretical Population Biology, 2004
We link deterministic integrodifference equations to stochastic, individual-based simulations by means of branching random walks. Using standard methods, we determine speeds of invasion for both average densities and furthest-forward individuals.
D. Brian Walton   +3 more
openaire   +3 more sources

Discounted branching random walks

Advances in Applied Probability, 1985
Let F(·) be a c.d.f. on [0,∞), f(s) = ∑∞0pjsi a p.g.f. with p0 = 0, < 1 < m = Σjpj < ∞ and 1 < ρ <∞. For the functional equation for a c.d.f. H(·) on [0,∞] we establish that if 1 – F(x) = O(x–θ) for some θ > α =(log m)/(log p) there exists a unique solution H(·) to (∗) in the class C of c.d.f.’s satisfying 1 – H(x) = o(x–α).We give a
openaire   +2 more sources

Branching Random Walks with Immigration

2017
The paper contains several results on the existence of limits for the first two moments of the popular model in the population dynamics: continuous-time branching random walks on the multidimensional lattice \(\mathbb Z^d\), \(d\ge 1\), with immigration and infinite number of initial particles.
Stanislav Molchanov   +3 more
openaire   +2 more sources

Branching Random Walks with Selection

2015
We have studied so far various asymptotic properties of the branching random walk by means of the spinal decomposition theorem. We are now facing at two very short chapters where the branching random walk intervenes in more complicated models; these topics are close to my current research work.
openaire   +2 more sources

Application to Branching Random Walk

2016
The purpose of this chapter is two-fold. First, we obtain a criterion for uniform integrability of intrinsic martingales \((W_{n})_{n\in \mathbb{N}_{0}}\) in the branching random walk as a corollary to Theorem 2.1.1 that provides a criterion for the a.s. finiteness of perpetuities.
openaire   +2 more sources

Branching Random Walks and Martingales

2015
The Galton–Watson branching process counts the number of particles in each generation of a branching process. In this chapter, we produce an extension, in the spatial sense, by associating each individual of the branching process with a random variable. This results in a branching random walk.
openaire   +2 more sources

Multiparametric prostate magnetic resonance imaging in the evaluation of prostate cancer

Ca-A Cancer Journal for Clinicians, 2016
Baris Turkbey   +2 more
exaly  

Strigolactone inhibition of shoot branching

Nature, 2008
Philip B Brewer   +2 more
exaly  

Inhibition of shoot branching by new terpenoid plant hormones

Nature, 2008
Mikihisa Umehara   +2 more
exaly  

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