Statistics and Its Interface

ISSN Print 1938-7989  ISSN Online 1938-7997

4 issues per year

Editors-in-Chief

Ming-Hui Chen (University of Connecticut)

Yuedong Wang (University of California at Santa Barbara)

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Aims and Scope

Exploring the interface between the field of statistics and other disciplines, including but not limited to: biomedical sciences, geosciences, computer sciences, engineering, and social and behavioral sciences. Publishes high-quality articles in broad areas of statistical science, emphasizing substantive problems, sound statistical models and methods, clear and efficient computational algorithms, and insightful discussions of the motivating problems.

Publication

Publishing since 2008.

4 issues per year.

Citation Report Metrics

Journal Citation Reports: Clarivate Analytics

Coverage Year: 2018

Total Citations: 543

Journal Impact Factor: 0.573

Eigenfactor: 0.00115

Sponsorship

Statistics and Its Interface is partially sponsored by the Yau Mathematical Sciences Center (MSC) of Tsinghua University.

Special Notices

SII Call for Papers on Statistical Research to address Emerging Issues of COVID-19

As the COVID-19 is influencing nearly every aspect of life, statistical research can contribute to the public good at this time of crisis. We would like to make a call for COVID-19 pandemic related papers. Developments of statistical methodology and/or novel applications of existing methods addressing COVID-19 related issues are welcome. We will strive for a rapid review process. Those manuscripts selected for further consideration will be peer reviewed and fast-tracked for publication if accepted.

Some of selected papers will be further considered as discussion papers. We are looking forward to your submission and contribution.

Call for Papers: Special Issue on Recent Developments in Complex Time Series Analysis

Statistics and Its Interface (SII) invites submissions for a special issue on Recent Developments in Complex Time Series Analysis.

Research in time-series analysis has been rapidly expanding during the last few decades, and massive time series with complex forms and structures appear in many fields, such as economics, finance, engineering, medicine, and environmental sciences. This has driven a surge in new methodologies for estimation, prediction and computation — and new challenges continue to arise.

SII focuses on the interfaces between statistical theory, methodology, and applications. Consequently, for this special issue we strongly encourage contributions of innovative theory, methodology, and novel applications in complex time-series analysis, in both time and frequency domains, including but not limited to Bayesian dynamic learning, financial time series, high-dimensional data, image data analysis, signal processing, etc.

The submission deadline for the special issue is March 1, 2021. All submissions must be made using the journal’s “New submission” online form, at https://www.e-publications.org/ip/sbs/SII/author/submit. If you are not yet a registered user, you will be prompted to register.

In the submission form’s “Comments to the editor” box, please indicate that your submission is for the Special Issue on Recent Developments in Complex Time Series Analysis.

All submissions will pass through the journal’s regular peer-review process. As the editors for this special issue, we shall handle the peer review carefully and in a timely manner. If accepted, your paper will be published in this special issue.

We are confident that, with your support and collaboration, this special issue will bring state-of-the-art research to the frontier of this vital and rapidly developing area. We look forward to receiving your papers in due course.

Guest editors
Robert T. Krafty, University of Pittsburgh
Guodong Li, University of Hong Kong
Anatoly Zhigljavsky, Cardiff University

Editors-in-chief
Ming-Hui Chen, University of Connecticut
Yuedong Wang, University of California, Santa Barbara

Call for Papers: Special Issue on Functional Data Analysis

Statistics and Its Interface (SII) invites submissions for a special issue on Functional Data Analysis. Research in functional data analysis has been rapidly expanding during the last few decades, and extending to data that are beyond smooth curves, such as time series, density functions and images, making it increasingly popular and widely used in many fields including medicine, biology, public health, engineering, finance, economics, and environmental sciences. The rapid developments also lead to many challenges in estimation, inference, prediction and computation. SII promotes interface between statistical theory, methodology and applications. Thus, we strongly encourage innovative theory, methodology and novel applications in functional data analysis.

Due to the COVID-19 pandemic, the submission deadline for this special issue is extended from March 1, 2020 to December 1, 2020.

All submissions must be made using the journal’s “New submission” online form, at https://www.e-publications.org/ip/sbs/SII/author/submit. If you are not yet a registered user, you will be prompted to register.

In the submission form’s “Comments to the editor” box, please indicate that your submission is for the Special Issue on Functional Data Analysis.

All submissions will pass through the journal’s regular peer-review process. As the editors for this special issue, we shall handle the peer review carefully and in a timely manner. If accepted, your paper will be published in this special issue.

We are confident that, with your support and collaboration, this special issue will bring state-of-the-art research to the frontier of this vital and rapidly developing area. We look forward to receiving your papers in due course.

Guest editors
Jeng-Min Chiou, Academia Sinica
Wensheng Guo, University of Pennsylvania
Fang Yao, University of Toronto

Editors-in-chief
Ming-Hui Chen, University of Connecticut
Yuedong Wang, University of California, Santa Barbara