Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message

Login Alert

Cancel
Log in
×
×
Register
Log In
(0) Cart
Logo for Cambridge Core from Cambridge University Press. Click to return to homepage.
Logo for Cambridge Core from Cambridge University Press. Click to return to homepage.
Cited by
  • Crossref logo 17
  • Google Scholar logo
Crossref Citations
Crossref logo
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Beneš, Viktor Hofer-Temmel, Christoph Last, Günter and Večeřa, Jakub 2020. Decorrelation of a class of Gibbs particle processes and asymptotic properties of U-statistics. Journal of Applied Probability, Vol. 57, Issue. 3, p. 928.
  • CrossRef
  • Google Scholar
Jansen, Sabine 2021. Revisiting Groeneveld’s approach to the virial expansion. Journal of Mathematical Physics, Vol. 62, Issue. 2,
  • CrossRef
  • Google Scholar
Procacci, Aldo and Yuhjtman, Sergio A. 2022. Classical Particles in the Continuum Subjected to High Density Boundary Conditions. Annales Henri Poincaré, Vol. 23, Issue. 3, p. 799.
  • CrossRef
  • Google Scholar
Poghosyan, Suren and Zessin, Hans 2022. Penrose-Stable Interactions in Classical Statistical Mechanics. Annales Henri Poincaré, Vol. 23, Issue. 3, p. 739.
  • CrossRef
  • Google Scholar
Michelen, Marcus and Perkins, Will 2022. Strong Spatial Mixing for Repulsive Point Processes. Journal of Statistical Physics, Vol. 189, Issue. 1,
  • CrossRef
  • Google Scholar
Jansen, Sabine and Kolesnikov, Leonid 2022. Cluster Expansions: Necessary and Sufficient Convergence Conditions. Journal of Statistical Physics, Vol. 189, Issue. 3,
  • CrossRef
  • Google Scholar
Procacci, Aldo 2022. Virial series for a system of classical particles interacting through a pair potential with negative minimum. Reviews in Mathematical Physics, Vol. 34, Issue. 03,
  • CrossRef
  • Google Scholar
Frommer, Fabio and Hanke, Martin 2022. A variational framework for the inverse Henderson problem of statistical mechanics. Letters in Mathematical Physics, Vol. 112, Issue. 4,
  • CrossRef
  • Google Scholar
Houdebert, Pierre and Zass, Alexander 2022. An explicit Dobrushin uniqueness region for Gibbs point processes with repulsive interactions. Journal of Applied Probability, Vol. 59, Issue. 2, p. 541.
  • CrossRef
  • Google Scholar
Last, Günter and Otto, Moritz 2023. Disagreement coupling of Gibbs processes with an application to Poisson approximation. The Annals of Applied Probability, Vol. 33, Issue. 5,
  • CrossRef
  • Google Scholar
Michelen, Marcus and Perkins, Will 2023. Analyticity for Classical Gasses via Recursion. Communications in Mathematical Physics, Vol. 399, Issue. 1, p. 367.
  • CrossRef
  • Google Scholar
Betsch, Steffen 2023. Structural Properties of Gibbsian Point Processes in Abstract Spaces. Journal of Theoretical Probability, Vol. 36, Issue. 4, p. 2501.
  • CrossRef
  • Google Scholar
Betsch, Steffen and Last, Günter 2023. On the uniqueness of Gibbs distributions with a non-negative and subcritical pair potential. Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, Vol. 59, Issue. 2,
  • CrossRef
  • Google Scholar
Fialho, Paula M. S. de Lima, Bernardo N. B. Procacci, Aldo and Scoppola, Benedetto 2023. On the analyticity of the pressure for a non-ideal gas with high density boundary conditions. Journal of Mathematical Physics, Vol. 64, Issue. 5,
  • CrossRef
  • Google Scholar
Jansen, Sabine Kuna, Tobias and Tsagkarogiannis, Dimitrios 2023. Virial inversion and density functionals. Journal of Functional Analysis, Vol. 284, Issue. 1, p. 109731.
  • CrossRef
  • Google Scholar
Privault, Nicolas 2024. Asymptotic Analysis of k-Hop Connectivity in the 1D Unit Disk Random Graph Model. Methodology and Computing in Applied Probability, Vol. 26, Issue. 4,
  • CrossRef
  • Google Scholar
Liu, Qingwei and Privault, Nicolas 2024. Normal approximation of subgraph counts in the random-connection model. Bernoulli, Vol. 30, Issue. 4,
  • CrossRef
  • Google Scholar
Google Scholar Citations

View all Google Scholar citations for this article.

×
Cambridge University Press

Our Site

  • Accessibility
  • Contact & Help
  • Legal Notices

Our Platforms

  • Cambridge Core
  • Cambridge Open Engage
  • Cambridge Higher Education

Our Products

  • Journals
  • Books
  • Elements
  • Textbooks
  • Courseware

Join us online

Please choose a valid location.

  • Rights & Permissions
  • Copyright
  • Privacy Notice
  • Terms of Use
  • Cookies Policy
Cambridge University Press 2024

Cancel
Confirm
×

Save article to Kindle

To save this article to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Cluster Expansions for GIBBS Point Processes
  • Volume 51, Issue 4
  • S. Jansen (a1)
  • DOI: https://doi.org/10.1017/apr.2019.46
Please provide your Kindle email.
Available formats Please select a format to save.
×

Save article to Dropbox

To save this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you used this feature, you will be asked to authorise Cambridge Core to connect with your Dropbox account. Find out more about saving content to Dropbox.

Cluster Expansions for GIBBS Point Processes
  • Volume 51, Issue 4
  • S. Jansen (a1)
  • DOI: https://doi.org/10.1017/apr.2019.46
Available formats Please select a format to save.
×

Save article to Google Drive

To save this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you used this feature, you will be asked to authorise Cambridge Core to connect with your Google Drive account. Find out more about saving content to Google Drive.

Cluster Expansions for GIBBS Point Processes
  • Volume 51, Issue 4
  • S. Jansen (a1)
  • DOI: https://doi.org/10.1017/apr.2019.46
Available formats Please select a format to save.
×
×

Reply to: Submit a response

Contents help
Close Contents help

- No HTML tags allowed
- Web page URLs will display as text only
- Lines and paragraphs break automatically
- Attachments, images or tables are not permitted

Please enter your response.

Your details

Email help
Close Email help

Your email address will be used in order to notify you when your comment has been reviewed by the moderator and in case the author(s) of the article or the moderator need to contact you directly.

Please enter a valid email address.
You have entered the maximum number of contributors

Conflicting interests

Do you have any conflicting interests? * Conflicting interests help

Close Conflicting interests help

Please list any fees and grants from, employment by, consultancy for, shared ownership in or any close relationship with, at any time over the preceding 36 months, any organisation whose interests may be affected by the publication of the response. Please also list any non-financial associations or interests (personal, professional, political, institutional, religious or other) that a reasonable reader would want to know about in relation to the submitted work. This pertains to all the authors of the piece, their spouses or partners.