Write in a clean editor, then format for Advances in Applied Probability in one click — DocuGuru applies the official Cambridge University Press template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Advances in Applied Probability is a peer-reviewed journal published by Cambridge University Press, covering Stochastic processes and statistical mechanics, Advanced Queuing Theory Analysis, Probability and Risk Models.
| 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, Advances in Applied Probability 12 (2023) 45–58.
Formats any DOI in the closest standard style — Advances in Applied Probability has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Stochastic processes and statistical mechanics Advanced Queuing Theory Analysis Probability and Risk Models Point processes and geometric inequalities Stochastic processes and financial applications |
| ISSN | 0001-8678 |
| Citation impact (2-yr) | 0.95 |
| h-index | 133 |
| i10-index | 2,321 |
| Total citations | 117,041 |
| Top institutions publishing here | University of Cambridge |
| 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.
The problem of transmitting information in a specified direction over a communication channel with three terminals is considered. Examples are given of the various ways of sending information. Basic inequalities for average mutual information rates are obtained. A coding theorem and weak converse are proved and a necessary and sufficient condition for a positive capacity…
The intrinsic random functions (IRF) are a particular case of the Guelfand generalized processes with stationary increments. They constitute a much wider class than the stationary RF, and are used in practical applications for representing non-stationary phenomena. The most important topics are: existence of a generalized covariance (GC) for which statistical inference is possible from…
In Part I we developed stability concepts for discrete chains, together with Foster–Lyapunov criteria for them to hold. Part II was devoted to developing related stability concepts for continuous-time processes. In this paper we develop criteria for these forms of stability for continuous-parameter Markovian processes on general state spaces, based on Foster-Lyapunov inequalities for the…
In the present paper a uniform asymptotic series is derived for the probability distribution of the sum of a large number of independent random variables. In contrast to the usual Edgeworth-type series, the uniform series gives good accuracy throughout its entire domain. Our derivation uses the fact that the major components of the distribution are…
This paper is concerned with blocking and loss probabilities in circuit-switched networks. We show that when the capacity of links and the offered traffic are increased together, a limiting regime emerges in which loss probabilities are as if links block independently, with blocking probabilities given by the solution of a simple convex programming problem. We…
