If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Binary Cumulants

The full text article is not available for purchase.

The publisher only permits individual articles to be downloaded by subscribers.

Abstract:

The binary cumulant is defined for joint probability distributions on binary sequences of finite length. The binary cumulant is bounded, in magnitude, by unity, and is shown to vanish if there exists any bipartition of the letter positions into statistically independent blocks. Probability distributions on binary n-sequences are shown to map injectively into their binary cumulants for all subsets of the set of letter positions. An inversion algorithm is established, recovering the joint distribution from its collection of binary cumulants.

Document Type: Research Article

Affiliations: Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545

Publication date: July 1, 2000

Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more