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Information and Inference

About:

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:

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:  26
Best Quartile:

Q1:  Statistics and Probability

Q2:  

Q3:  

Q4:  

Journal Home:  Journal Homepage
Cite Score:  4.5
SNIP:  1.749
Journal Rank(SJR):  1.659
Publisher & Country:

Publisher:  Oxford University Press

Country:  United States