Statistics and its Interface

Special Notices

Call for Papers: Special SII issue on statistical methods for next-generation sequencing data analysis

Statistics and Its Interface (SII) invites submissions for a special issue on next-generation sequencing data analysis. Next-generation sequencing has revolutionized the status of biological/medical research. There is a pressing need for the development of novel statistical methods to facilitate the data analysis in this research area. SII promotes the interface between statistical theory and methodology and applications. Thus, we strongly encourage developments and applications of proper statistic methods for next-generation sequencing data analysis. Your papers, once accepted, will be published together in a future issue of SII.

The submission deadline for this special issue is October 1, 2013. All submissions must be made online through the website http://www.e-publications.org/ip/sbs/index.php/index/login.

In the “comments to the editors” box, please state that your submission is “for the special issue on statistical methods for next-generation sequencing data analysis.” All submissions will go through regular review process. As the editors for this special issue, we will handle the peer review timely and carefully.

With your support and collaboration, we are confident that the special issue will be a success, and will reflect the research activities at the frontier of this vibrant area. We look forward to receiving your papers in due course.

Li Hsu, Jie Peng, and Pei Wang (Guest Co-Editors)

Call for Papers: SII Issue on “Extreme Values”

Submission deadline: October 1, 2013

Statistics and Its Interface (SII) invites submissions for a special issue on Extreme Values. Extreme value analysis is an exciting research area with applications in many fields such as finance, insurance, and environment sciences. SII promotes interface between statistical theory and methodology and applications. Thus, we strongly encourage substantive applications of extreme theory and methodology in all areas of science and engineering. Your papers, once accepted, will be published together in a future issue of SII.

All submissions must be made online through the website http://www.e-publications.org/ip/sbs/index.php/index/login and please state that your submissions are “For the Special Issue on Extreme Values” in the Box of Comments to the editors. The submissions will go through regular review process. As the editors for this special issue, we will handle the peer review timely and carefully.

With your support and collaboration, we are confident that the special issue will be a success that will reflect the research activities at the frontier of this vibrant area. We look forward to receiving your papers in due course.

Zhengjun Zheng (Guest Editor)
Yazhen Wang (Co-Editor)

Call for Papers: SII Issue on “Modern Bayesian Statistics”

Submission deadline: November 1, 2013

Statistics and Its Interface (SII) invites submissions for a special issue on Modern Bayesian Statistics. Research in Bayesian statistics is rapidly expanding and diversifying, making it increasingly popular and widely used in many fields and applications including medicine, biology, public health, epidemiology, engineering, finance, economics, environment sciences, and social sciences. SII promotes interface between statistical theory and methodology and applications. Thus, we strongly encourage substantive applications of Bayesian statistical theory and methodology in all areas of sciences. Your papers, once accepted, will be published together in a future issue of SII.

All submissions must be made online through the website http://www.e-publications.org/ip/sbs/index.php/index/login and please state that your submissions are “For the Special Issue on Modern Bayesian Statistics” in the Box of Comments to the editors. The submissions will go through regular review process. As the editors for this special issue, we will handle the peer review timely and carefully. With your support and collaboration, we are confident that the special issue will be a success that will reflect the state-of-art of research at the frontier of this vital and rapidly developing area. We look forward to receiving your papers in due course.

Ming-Hui Chen (Guest Editor)
Heping Zhang (Editor-in-Chief)

Call for Papers: SII Issue on “Network Data Analysis”

Submission deadline: December 31, 2013

Statistics and Its Interface} (SII) invites submissions for a special issue on Network Data Analysis. Traditional statistical analysis assumes independent subjects and then investigates subject-specific information. Network data analysis is more focused on the inter-subject relationships. How are they generated and evolved? How they affect other related statistical analyses, such as regression, covariance estimation, and multivariate analyses, is poorly understood. Network related research has been a classical research subject in sociology while becoming increasingly popular in many other disciplines. This is mainly due to the fast development of information technology, which makes recording, storing, and analyzing large scaled network data practically feasible. The related scientific disciplines include but are not limited to: medicine, biology, public health, epidemiology, finance, economics, social science, marketing, and information science. Thus, we strongly encourage substantive research and applications in network research . We welcome novel statistical methodology, which can be used to model and analyze network and/or network-related data. We also encourage creative application of existing statistical methodology to network applications, which might lead to potentially significant scientific discoveries and/or important business applications. Your papers, once accepted, will be published together in a future issue of SII.

All submissions must be made online through the website http://www.e-publications.org/ip/sbs/index.php/index/login and please state that your submissions are “For the Special Issue on Network Data Analysis” in the Box of Comments to the editors. The submissions will go through regular review process. As the editors for this special issue, we will handle the peer review timely and carefully. With your support and collaboration, we are confident that the special issue will be a success that will reflect the state-of-art of research at the frontier of this vital and rapidly developing area. We look forward to receiving your papers in due course.

Hanson Wang (Guest Editor)
Song-Xi Chen (Co-Editor)