Information and Inference: a Journal of the IMA aims to publish high quality mathematically-oriented articles, furthering the understanding of the theory, methods of analysis, and algorithms for information and data. Articles should be written in a way accessible to researchers in the associated topics in pure and applied mathematics, statistics, computer sciences, and electrical engineering. Articles are published in, but not limited to: information theory, statistical inference, network analysis, numerical analysis, learning theory, applied and computational harmonic analysis, probability, combinatorics, signal processing, and high-dimensional geometry.
Journal Home: Journal Homepage
Editor-in-Chief: Robert Calderbank,David L. Donoho
scope: Articles should be written in a way accessible to researchers in the associated topics in pure and applied mathematics, statistics, computer sciences, and electrical engineering. Articles are published in, but not limited to: information theory, statistical inference, network analysis, numerical analysis, learning theory, applied and computational harmonic analysis, probability, combinatorics, signal processing, and high-dimensional geometry.
Print ISSN: 20498772
Electronic ISSN: 20498772
Abstracting and Indexing: Scopus
Imapct Factor :
Subject Area and Category: Computer Science,Computational Theory and Mathematics,Mathematics,Analysis,Applied Mathematics,Numerical Analysis,Statistics and Probability
Publication Frequency:
H Index: 22
Q1: Statistics and Probability
Q2:
Q3:
Q4:
Cite Score: 4.2
SNIP: 1.911
Journal Rank(SJR): 1.07
Latest Articles: Latest Articles in Information and Inference
Guidelines for Authors: Information and Inference Author Guidelines
Paper Submissions: Paper Submissions in Information and Inference
Publisher: Oxford University Press
Country: United States
