Statistics and Its Interface

ISSN Print 1938-7989  ISSN Online 1938-7997

4 issues per year

Editor-in-Chief

Heping Zhang (Yale University)

HomeEditorsSubmissionsRead Online

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.

Sponsorship

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

Special Notices

Call for Papers: Special Issue on Statistical and Computational Theory and Methodology for Big Data

Submission deadline: November 1, 2014

Statistics and Its Interface (SII) invites submissions for a special issue on Statistical and Computational Theory and Methodology for Big Data. The integration of computer technology into science and daily life has enabled the collection of big data, such as high-throughput biological assay data, large-scale genomic sequencing data, climate data, website transaction logs, and credit card records. Big data are bringing a revolution in science and technology. It also presents challenges to the current statistical and computational theory and methodology. Thus, we strongly encourage substantive applications and computational developments for analyzing big data in all areas of sciences. High-quality review articles in this emerging new research area are also welcome. Selected papers will appear as invited discussion papers in this special issue.

All submissions must be made online through the website http://www.e-publications.org/ip/sbs/index.php/SII/login. In the box labelled “comments to the editors,” please state that your submission is for the special issue on Big Data.

All submissions will undergo the normal review process. As the editors for this special issue, we will manage peer review carefully and in a timely manner. With your support and collaboration, we are confident that this special issue will succeed communicating state-of-art of research from the frontiers of this vital and rapidly developing area. We look forward to receiving your papers in due course.

Ming-Hui Chen (Co-Guest Editor), University of Connecticut
Radu V. Craiu (Co-Guest Editor), University of Toronto
Faming Liang (Co-Guest Editor), Texas A&M University
Chuanhai Liu (Co-Guest Editor), Purdue University
Heping Zhang (Editor-in-Chief), Yale University

Call for Papers: Special Issue on Time Series Analysis and Applications in Economics and Climate

Submission deadline: January 1, 2015

Statistics and Its Interface (SII) invites submissions for a special issue on Time Series Analysis and Applications in Economics and Climate. Papers devoted to new methodological issues of time series analysis and forecasting are welcome. A special emphasis in this special issue will be paid to new applications of statistical techniques of time series analysis for forecasting economics and climate data. As an important example of climate data, we consider the Earth temperature recordings which can be downloaded from http://vortex.nsstc.uah.edu/data/msu/t2lt/uahncdc_lt_5.5.txt, this data provided by the National Space Science & Technology Center. Selected papers will appear as invited discussion papers in this special issue.

All submissions must be made online through the website http://www.e-publications.org/ip/sbs/index.php/SII/login. In the box labelled “comments to the editors,” please state that your submission is for the special issue on Time Series Analysis.

All submissions will undergo the normal review process. As the editors for this special issue, we will manage peer review carefully and in a timely manner. With your support and collaboration, we are confident that this special issue will make a serious impact on the hugely important area of applied statistics.

Shouyang Wang (Co-Guest Editor), Institute of Systems Science, Beijing
Anatoly Zhigljavsky (Co-Guest Editor), Cardiff University
Heping Zhang (Editor-in-Chief), Yale University

Website copyright © by International Press of Boston, Inc. All rights reserved.

This page last updated: 2014 Jul 23 9:47 am EST.