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Journal of Applied Probability is a peer-reviewed journal published by Cambridge University Press, covering Stochastic processes and statistical mechanics, Probability and Risk Models, Advanced Queuing Theory Analysis.
| Publisher | Cambridge University Press |
|---|---|
| Reference style | Numbered Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, A representative article title, Journal of Applied Probability 12 (2023) 45–58.
Formats any DOI in the closest standard style — Journal of Applied Probability has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Stochastic processes and statistical mechanics Probability and Risk Models Advanced Queuing Theory Analysis Stochastic processes and financial applications Bayesian Methods and Mixture Models |
| ISSN | 0021-9002 |
| Citation impact (2-yr) | 0.6 |
| h-index | 136 |
| i10-index | 3,827 |
| Total citations | 173,305 |
| Top institutions publishing here | Australian National University |
| Journal website | journals.cambridge.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This paper provides a rigorous foundation for the second-order analysis of stationary point processes on general spaces. It illuminates the results of Bartlett on spatial point processes, and covers the point processes of stochastic geometry, including the line and hyperplane processes of Davidson and Krickeberg. The main tool is the decomposition of moment measures pioneered…
A new Markov chain is introduced which can be used to describe the family relationships among n individuals drawn from a particular generation of a large haploid population. The properties of this process can be studied, simultaneously for all n, by coupling techniques. Recent results in neutral mutation theory are seen as consequences of the…
We consider a population of n projects which in general continue to evolve whether in operation or not (although by different rules). It is desired to choose the projects in operation at each instant of time so as to maximise the expected rate of reward, under a constraint upon the expected number of projects in…
In a great variety of fields, e.g., biology, epidemic theory, physics, and chemistry, ordinary differential equations are used to give continuous deterministic models for dynamic processes which are actually discrete and random in their development. Perhaps the simplest example is the differential equation used to describe a number of processes including radioactive decay and population…
In this article we shall present a summary of the various stochastic approaches and applications to chemical reaction kinetics, but before discussing these we first briefly introduce the basic ideas and definitions of classical or deterministic chemical kinetics. One of the basic questions to which chemists address themselves is the rate of chemical reactions, or…
