Change search
ReferencesLink to record
Permanent link

Direct link
Maximum Likelihood Reconstruction for Ising Models with Asynchronous Updates
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, Centres, Nordic Institute for Theoretical Physics NORDITA.
Show others and affiliations
2013 (English)In: Physical Review Letters, ISSN 0031-9007, Vol. 110, no 21, 210601- p.Article in journal (Refereed) Published
Abstract [en]

We describe how the couplings in an asynchronous kinetic Ising model can be inferred. We consider two cases: one in which we know both the spin history and the update times and one in which we know only the spin history. For the first case, we show that one can average over all possible choices of update times to obtain a learning rule that depends only on spin correlations and can also be derived from the equations of motion for the correlations. For the second case, the same rule can be derived within a further decoupling approximation. We study all methods numerically for fully asymmetric Sherrington-Kirkpatrick models, varying the data length, system size, temperature, and external field. Good convergence is observed in accordance with the theoretical expectations.

Place, publisher, year, edition, pages
2013. Vol. 110, no 21, 210601- p.
National Category
Physical Sciences
URN: urn:nbn:se:kth:diva-124289DOI: 10.1103/PhysRevLett.110.210601ISI: 000319257200001ScopusID: 2-s2.0-84877933155OAI: diva2:634726

QC 20130701

Available from: 2013-07-01 Created: 2013-06-28 Last updated: 2013-07-01Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Aurell, ErikHertz, JohnRoudi, Yasser
By organisation
Computational Biology, CBACCESS Linnaeus CentreNordic Institute for Theoretical Physics NORDITA
In the same journal
Physical Review Letters
Physical Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 32 hits
ReferencesLink to record
Permanent link

Direct link