Taylor & Francis

Stochastic Models Template

Write in a clean editor, then format for Stochastic Models in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Stochastic Models format

Stochastic Models is a peer-reviewed journal published by Taylor & Francis, covering Advanced Queuing Theory Analysis, Probability and Risk Models, Stochastic processes and statistical mechanics.

PublisherTaylor & Francis
Reference styleAuthor–year (Chicago, T&F)
Author–year — (Smith, 2023) in the text
Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Stochastic Models 12 (3): 45–58.

Formats any DOI in Stochastic Models style. No sign-up.

Publishes research inAdvanced Queuing Theory Analysis Probability and Risk Models Stochastic processes and statistical mechanics Stochastic processes and financial applications Financial Risk and Volatility Modeling
ISSN1532-4214
Citation impact (2-yr)0.93
h-index41
i10-index232
Total citations8,234
Top institutions publishing hereEindhoven University of Technology
Journal websitewww.tandf.co.uk
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Stochastic Models per year

29
2014
38
2015
29
2016
20
2017
18
2018
36
2019
30
2020
26
2021
48
2022
31
2023
29
2024
18
2025

Citation impact of Stochastic Models by publication year

166
2014
218
2015
133
2016
96
2017
88
2018
146
2019
101
2020
93
2021
111
2022
60
2023
52
2024
8
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Stochastic Models

Representations of the First Hitting Time Density of an Ornstein-Uhlenbeck Process<sup>1</sup>

Larbi Alili, Pierre Patie, Jesper Lund Pedersen · 1 Oct 2005

ABSTRACT Three expressions are provided for the first hitting time density of an Ornstein-Uhlenbeck process to reach a fixed level. The first hinges on an eigenvalue expansion involving zeros of the parabolic cylinder functions. The second is an integral representation involving some special functions whereas the third is given in terms of a functional of…

Matching Three Moments with Minimal Acyclic Phase Type Distributions

Andrea Bobbio, András Horváth, Miklós Telek · 1 Jan 2005

Abstract A number of approximate analysis techniques are based on matching moments of continuous time phase type (PH) distributions. This paper presents an explicit method to compose minimal order continuous time acyclic phase type (APH) distributions with a given first three moments. To this end we also evaluate the bounds for the first three moments…

Sums of Pairwise Quasi-Asymptotically Independent Random Variables with Consistent Variation

Yiqing Chen, Kam Chuen Yuen · 12 Feb 2009

This article investigates the tail asymptotic behavior of the sum of pairwise quasi-asymptotically independent random variables with consistently varying tails. We prove that the tail probability of the sum is asymptotically equal to the sum of individual tail probabilities. This matches a feature of subexponential distributions. This result is then extended to weighted sums and…

From Individual Stochastic Processes to Macroscopic Models in Adaptive Evolution

Nicolas Champagnat, Régis Ferrière, Sylvie Méléard · 5 Nov 2008

We are interested in modelling Darwinian evolution, resulting from the interplay of phenotypic variation and natural selection through ecological interactions. Our models are rooted in the microscopic, stochastic description of a population of discrete individuals characterized by one or several adaptive traits. The population is modelled as a stochastic point process whose generator captures the…

Population Dynamics and Random Genealogies

Amaury Lambert · 5 Nov 2008

We start with stochastic models of genealogies in discrete time, distinguishing models where the population size is fixed (models of Cannings, Wright–Fisher, and Moran; compositions of bridges) with models where the population size fluctuates randomly (processes of Bienaymé–Galton–Watson, Jirina; birth–death processes, logistic branching process). Scaling limits of these models can be seen as genealogies of…

Stochastic Models template — frequently asked questions

How do I write a paper in the Stochastic Models format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Stochastic Models template. When you export, DocuGuru compiles the paper into the official Taylor & Francis format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Stochastic Models use?
Stochastic Models uses Author–year (Chicago, T&F) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Stochastic Models 12 (3): 45–58.
Do I need to know LaTeX to submit to Stochastic Models?
No. DocuGuru generates the interact LaTeX class and compiles the PDF for you in the background, so you get a Taylor & Francis-ready Stochastic Models document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Stochastic Models template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Stochastic Models format with correct headings, figures, tables, and author–year citations.
Who publishes Stochastic Models?
Stochastic Models is a multidisciplinary journal published by Taylor & Francis. DocuGuru's Stochastic Models template matches Taylor & Francis's official submission format.
Can I export a submission-ready Stochastic Models PDF?
Yes — DocuGuru produces a PDF built with the official Stochastic Models template (the interact class) that is ready to submit to Taylor & Francis, together with the matching LaTeX source files.
How much does the Stochastic Models template cost?
You can start writing in the Stochastic Models template for free. Exporting the final submission-ready Stochastic Models PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the Stochastic Models template