Statistics and Its Interface

Scope & Guideline

Connecting Theory and Practice in Statistics

Introduction

Immerse yourself in the scholarly insights of Statistics and Its Interface with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1938-7989
PublisherINT PRESS BOSTON, INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2011 to 2024
AbbreviationSTAT INTERFACE / Stat. Interface
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressPO BOX 43502, SOMERVILLE, MA 02143

Aims and Scopes

The journal 'Statistics and Its Interface' focuses on advancing the field of statistics through innovative methodologies and applications across a range of domains. Its core areas include statistical modeling, data analysis, and the development of statistical theory that interfaces with real-world problems.
  1. Statistical Modeling and Inference:
    The journal emphasizes the development and application of statistical models for various types of data, including time series, spatial data, and high-dimensional data. This includes techniques for inference, estimation, and hypothesis testing.
  2. Machine Learning and Data Science:
    There is a strong focus on the intersection of statistics and machine learning, exploring methods like Bayesian inference, regularization techniques, and semi-supervised learning, which are critical for handling complex datasets in modern applications.
  3. Health and Biomedical Statistics:
    The journal publishes research that applies statistical methods to health-related issues, including clinical trials, epidemiology, and genetics, thus contributing to advancements in public health and medical research.
  4. Robust and High-Dimensional Data Analysis:
    Research addressing challenges in robust statistics and high-dimensional data analysis is prevalent, focusing on developing methods that are reliable under various conditions, including the presence of outliers or missing data.
  5. Statistical Theory and Methodology:
    Theoretical advancements in statistics, including new methods for estimation, testing, and model selection, are a significant part of the journal's content, providing foundational knowledge for practical applications.
Recent publications in 'Statistics and Its Interface' reveal several emerging themes that reflect the evolving landscape of statistical research and application.
  1. Integration of Machine Learning with Traditional Statistics:
    There is a growing trend towards integrating machine learning techniques with traditional statistical methods, highlighting the importance of computational approaches in modern data analysis.
  2. Data Science Applications:
    The journal is increasingly publishing works that apply statistical methods to data science problems, such as big data analytics, predictive modeling, and real-time data processing, reflecting the industry's demand for these skills.
  3. Graphical Models and Network Analysis:
    Research focusing on graphical models and network analysis is on the rise, as these methods provide powerful tools for understanding complex relationships in data, particularly in social and biological networks.
  4. Causal Inference and Treatment Effect Estimation:
    The importance of causal inference is increasingly recognized, with more studies exploring methodologies for estimating treatment effects and understanding causal relationships within observational data.
  5. Bayesian Methods and Hierarchical Models:
    Bayesian statistics continues to trend upward, with a growing number of publications focusing on hierarchical models and Bayesian inference techniques, which are particularly useful in complex modeling scenarios.

Declining or Waning

While 'Statistics and Its Interface' has maintained a robust focus on several key areas, certain themes appear to be declining in prominence based on recent publications.
  1. Traditional Parametric Models:
    There has been a noticeable decrease in the publication of papers focusing on traditional parametric models, with more emphasis shifting towards flexible, non-parametric, or robust methods that better accommodate complex data structures.
  2. Basic Statistical Education and Theory:
    Papers that focus solely on basic statistical education and fundamental theoretical concepts are becoming less frequent, indicating a shift toward more advanced methodologies and applications that require a higher level of statistical understanding.
  3. Descriptive Statistics and Simple Analyses:
    Research that relies heavily on descriptive statistics or simple analytical methods is waning, as the journal increasingly publishes more complex analyses that incorporate advanced modeling and computational techniques.

Similar Journals

Stat

Navigating the complexities of statistics with expert insights.
Publisher: WILEYISSN: 2049-1573Frequency: 1 issue/year

Stat is a respected academic journal published by WILEY, focusing on the vital fields of Statistics and Probability. Established in 2012 and converging through to 2024, this journal offers critical insights and advancements in statistical methodologies and applications. While it operates under traditional access options, researchers and practitioners can benefit from its rigorous peer-reviewed content, which serves to stimulate innovation and collaboration in statistics. In the 2023 categorizations, Stat has been recognized in the Q3 quartile in both Statistics and Probability and Statistics, Probability and Uncertainty, reflecting its growing influence and relevance in the field. Positioned within a competitive landscape, with Scopus ranks highlighting its challenges and opportunities, Stat is an essential resource for academics, professionals, and students seeking to deepen their understanding and application of statistical techniques. As the journal continues to evolve, it remains committed to fostering a community of inquiry and practice in statistics.

Statistics in Biosciences

Transforming Biosciences with Cutting-Edge Statistics
Publisher: SPRINGERISSN: 1867-1764Frequency: 3 issues/year

Statistics in Biosciences is a distinguished journal published by Springer, focusing on the innovative interplay between statistical methodologies and biosciences. Established in 2009, this journal aims to provide a platform for the dissemination of cutting-edge research in statistical applications within biochemistry, genetics, and molecular biology. With an impressive impact factor and a distinguished ranking in multiple categories, including Q2 in Biochemistry, Genetics and Molecular Biology (miscellaneous) and Q3 in Statistics and Probability, it serves as a crucial resource for researchers, professionals, and students seeking to deepen their understanding of statistical applications in biological contexts. The journal is accessible through traditional subscription models, ensuring that high-quality research remains available to a wide audience. Featuring contributions that advance statistical theory and application in the biosciences, Statistics in Biosciences is committed to fostering collaboration and innovation in a rapidly evolving scientific landscape.

BIOMETRICS

Connecting Disciplines Through Exceptional Research
Publisher: WILEYISSN: 0006-341XFrequency: 4 issues/year

BIOMETRICS, published by WILEY, stands as a prestigious journal that has made substantial contributions across diverse fields, including Agricultural and Biological Sciences, Applied Mathematics, and Biochemistry. With an impressive track record from its inception in 1946 and continuing through to 2024, this journal is recognized for its rigorous peer-reviewed research and high-impact findings, evidenced by its Q1 ranking in various categories such as Medicine and Statistics. Researchers and professionals alike will find a wealth of knowledge within its pages, making it an essential resource for anyone involved in these dynamic and evolving disciplines. While BIOMETRICS does not offer open access, its reputation for delivering high-quality research ensures its continued importance in advancing the scientific ecosystem. For those seeking to stay ahead in their fields, engaging with the latest studies published in this journal is indispensable.

STATISTICS AND COMPUTING

Fostering interdisciplinary collaboration in statistics and computing.
Publisher: SPRINGERISSN: 0960-3174Frequency: 1 issue/year

Statistics and Computing is a premier journal published by Springer, dedicated to advancing the fields of statistics and computational theory. With a strong focus on interdisciplinary research, this journal covers a broad spectrum of topics including, but not limited to, statistical methodologies, computational algorithms, and the latest advancements in data analysis. As of 2023, it proudly holds a Q1 ranking in multiple categories including Computational Theory and Mathematics and Statistics and Probability, underscoring its significant influence and recognition within the academic community. The journal's impact is further demonstrated by its commendable positions in Scopus ranks, making it a valuable resource for researchers, professionals, and students alike. Published in the Netherlands, Statistics and Computing is known for its rigorous peer-review process and commitment to quality, ensuring that only the most impactful research is disseminated to the global audience. Submissions from a diverse range of backgrounds are encouraged, fostering an inclusive environment for innovation and collaboration in the statistics and computing realm.

BERNOULLI

Shaping the Future of Statistics and Probability
Publisher: INT STATISTICAL INSTISSN: 1350-7265Frequency: 4 issues/year

BERNOULLI is a prestigious peer-reviewed journal dedicated to the field of Statistics and Probability, published by the renowned International Statistical Institute. Since its inception in 1995, this journal has established itself as a vital resource for researchers and professionals, achieving a remarkable impact factor and consistently ranking in the top quartile (Q1) of its category as of 2023. With a strong presence in the Scopus database, where it ranks #64 among 278 journals in Mathematics, it places in the 76th percentile, underscoring its significance in the academic landscape. Although not an open-access journal, its contributions are pivotal for advancing statistical theory and its applications across various disciplines. As Berounlli continues to evolve until 2024, it remains committed to disseminating high-quality research that fosters innovation and supports the global analytics community. The journal’s scope encompasses a wide range of topics in statistics, including but not limited to theoretical statistics, applied statistics, and data analysis, making it an essential read for anyone engaged in statistical research.

Journal of the Indian Society for Probability and Statistics

Connecting Ideas, Enriching Understanding in Probability and Statistics
Publisher: SPRINGERNATUREISSN: Frequency: 2 issues/year

Journal of the Indian Society for Probability and Statistics, published by SpringerNature in Germany, is a prominent platform dedicated to advancing the field of statistics and probability. With its E-ISSN of 2364-9569, the journal features rigorous research articles, reviews, and theoretical advancements aimed at promoting the application of statistical methodologies in diverse areas. As part of the academic community since 2016, it has maintained a commendable Q3 ranking in the Statistics and Probability category for 2023, indicating its growing influence and relevance. As the journal aims to foster collaborations among statisticians and probabilists, it serves as an invaluable resource for researchers, professionals, and students looking to deepen their understanding and share innovative ideas. While the journal operates under a subscription model, its commitment to open access publication contributes to the broader dissemination of knowledge in this vital field, further enhancing its importance and utility within the scientific landscape.

STATISTICAL PAPERS

Fostering Innovation in Statistical Discourse
Publisher: SPRINGERISSN: 0932-5026Frequency: 4 issues/year

STATISTICAL PAPERS, published by Springer, is a leading journal in the field of Statistics and Probability that has been contributing to the academic community since 1988. With an impressive track record spanning over three decades, this journal falls within the prestigious Q2 quartile in both the Statistics and Probability and Statistics, Probability and Uncertainty categories, signifying its high-quality research output. It currently ranks #92 out of 278 in the Mathematics - Statistics and Probability category and #61 out of 168 in Decision Sciences - Statistics, Probability and Uncertainty, placing it in the 67th and 63rd percentiles respectively. Although the journal is not open access, it offers a vital platform for researchers, professionals, and students seeking to disseminate their findings and stay abreast of the latest advancements in statistical methods and applications. With its commitment to the highest standards of scholarship, STATISTICAL PAPERS plays a crucial role in shaping contemporary statistical discourse and fostering innovation within the field.

COMPUTATIONAL STATISTICS

Advancing methodologies at the intersection of computation and statistics.
Publisher: SPRINGER HEIDELBERGISSN: 0943-4062Frequency: 4 issues/year

COMPUTATIONAL STATISTICS, published by Springer Heidelberg, is a prominent international journal that bridges the fields of computational mathematics and statistical analysis. Since its inception in 1996, this journal has served as a critical platform for disseminating high-quality research and advancements in statistical methodologies and computational techniques. Operating under Germany's esteemed scholarly tradition, it holds a commendable Q2 ranking in key categories such as Computational Mathematics and Statistics and Probability, reflecting its significant impact and relevance in the academic community. Although it does not offer Open Access, the journal remains a vital resource for researchers, professionals, and students seeking to enhance their understanding of the intricate interplay between computation and statistical inference. Each issue features rigorously peer-reviewed articles that contribute to the development of innovative methodologies and applications, thereby solidifying its role in shaping the future of computational statistics.

BIOSTATISTICS

Innovating statistical approaches for real-world biomedical challenges.
Publisher: OXFORD UNIV PRESSISSN: 1465-4644Frequency: 4 issues/year

BIOSTATISTICS is a premier academic journal dedicated to the intersection of statistical methodologies and their applications in the field of biomedicine, published by Oxford University Press. With its ISSN 1465-4644 and E-ISSN 1468-4357, the journal has established itself as a crucial resource for researchers and professionals in the broad disciplines of statistics and probability, particularly within medical contexts. The journal proudly holds a Q1 ranking in multiple categories as of 2023, including Medicine (miscellaneous), Statistics and Probability, as well as Statistics, Probability, and Uncertainty, placing it at the forefront of statistical research. It has also achieved notable Scopus rankings, underscoring its influence and reach—ranking 27th in Mathematics (Statistics and Probability) and 94th in Medicine (General Medicine). Although it does not currently offer open access options, BIOSTATISTICS remains committed to advancing scholarly conversation and innovation in statistical science, making it an essential outlet for both established and emerging researchers. With contributions spanning from 2003 to 2024, this journal is actively seeking to foster an understanding of complex statistical approaches in biomedicine, enabling professionals in the field to apply robust statistical techniques to real-world problems.

STATISTICA NEERLANDICA

Exploring the forefront of statistics and probability.
Publisher: WILEYISSN: 0039-0402Frequency: 4 issues/year

STATISTICA NEERLANDICA is a prestigious peer-reviewed journal published by Wiley, focusing on the fields of statistics and probability. Established in 1946 and addressing key issues in statistical theory and its applications, the journal has significantly contributed to the development of modern statistical practices. With an impressive Q2 categorization in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, STATISTICA NEERLANDICA stands out within its field, ranking in the 62nd percentile among its peers in mathematics, specifically in statistics and probability. Researchers, professionals, and students can benefit from its rigorous scholarship and innovative methodologies, aiding in the advancement of statistical science. Although the journal does not operate under an open access model, it maintains a commitment to disseminating high-quality research, making it a vital resource for those engaged in statistical inquiry.