Annals of Applied Statistics

Scope & Guideline

Elevating Standards in Applied Statistical Research

Introduction

Explore the comprehensive scope of Annals of Applied Statistics through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Annals of Applied Statistics in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1932-6157
PublisherINST MATHEMATICAL STATISTICS-IMS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2008 to 2024
AbbreviationANN APPL STAT / Ann. Appl. Stat.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address3163 SOMERSET DR, CLEVELAND, OH 44122

Aims and Scopes

The Annals of Applied Statistics focuses on the development and application of statistical methods to analyze complex data across various fields. The journal emphasizes innovative methodologies, practical applications, and interdisciplinary approaches.
  1. Statistical Methodology Development:
    The journal publishes papers that introduce new statistical techniques, particularly those addressing complex data structures such as high-dimensional, longitudinal, and survival data.
  2. Applications in Health and Biomedical Research:
    A significant portion of the journal's output is dedicated to statistical applications in health sciences, including epidemiology, clinical trials, and public health, showcasing the importance of statistics in addressing health-related questions.
  3. Bayesian Methods and Machine Learning:
    The journal features contributions that apply Bayesian methods and machine learning techniques to improve data analysis, model fitting, and inference in various research areas.
  4. Environmental and Ecological Statistics:
    Research focusing on statistical applications in environmental science, ecology, and climate studies is prevalent, reflecting the journal's commitment to addressing pressing global issues through statistical lenses.
  5. Social Science Applications:
    The journal also includes studies that apply statistical methods to social sciences, demonstrating the versatility of statistical techniques in understanding societal phenomena.
Recent trends in the journal reveal a shift towards innovative methodologies and applications that respond to contemporary challenges in data analysis.
  1. Integration of Machine Learning with Traditional Statistics:
    There is a growing trend towards integrating machine learning techniques with traditional statistical methods, enhancing model performance and accuracy in various applications.
  2. Focus on Causal Inference:
    The emergence of papers emphasizing causal inference methodologies highlights a significant trend in the journal, reflecting the increasing importance of understanding causal relationships in observational data.
  3. High-Dimensional Data Analysis:
    The journal is witnessing an uptick in research addressing high-dimensional data challenges, particularly in genomics and health data, as researchers seek to extract meaningful insights from complex datasets.
  4. Applications in Public Health and Epidemiology Post-COVID-19:
    The COVID-19 pandemic has spurred a surge in research focusing on public health statistics, with methodologies aimed at understanding and combating infectious diseases gaining prominence.
  5. Spatial and Spatiotemporal Modeling:
    There is a notable increase in the application of spatial and spatiotemporal statistical models, particularly in environmental studies and epidemiological research, reflecting the growing interest in these areas.

Declining or Waning

While the Annals of Applied Statistics continues to thrive in many areas, there are certain themes that appear to be declining in frequency or prominence in recent publications.
  1. Traditional Frequentist Approaches:
    There seems to be a noticeable decrease in the number of papers employing traditional frequentist statistical methods, as newer methodologies, particularly Bayesian and machine learning approaches, gain traction.
  2. Basic Descriptive Statistics:
    Papers focusing solely on descriptive statistics without advanced analytical methods are becoming less common, reflecting an increased expectation for more complex and impactful analyses.
  3. Simple Linear Regression Models:
    The application of straightforward linear regression models is waning, with researchers favoring more intricate models that account for complexities in data.

Similar Journals

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

Unveiling New Dimensions in Statistical Research
Publisher: SPRINGER HEIDELBERGISSN: 0020-3157Frequency: 5 issues/year

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, published by SPRINGER HEIDELBERG, is a prestigious academic journal that has played a pivotal role in the field of statistical mathematics since its inception in 1949. With a focus on advancing research in statistics and probability, this journal is ranked in the Q2 quartile for 2023, indicating its significance and impact within the academic community. Researchers and professionals engaged in statistical theory and methodology will find the journal's comprehensive coverage of contemporary issues essential for furthering their work and understanding of the discipline. The journal is accessible in print and digital formats, facilitating wide dissemination of knowledge among its readership. With a history of rigorous peer review and a commitment to high-quality research, the ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS continues to be a vital resource for academics and practitioners alike.

Electronic Journal of Applied Statistical Analysis

Transforming Data into Knowledge for a Global Community
Publisher: UNIV STUDI SALENTOISSN: 2070-5948Frequency: 1 issue/year

Welcome to the Electronic Journal of Applied Statistical Analysis, a pivotal platform for researchers and practitioners in the domains of Statistics and Probability, as well as Modeling and Simulation. Published by Università del Salento in Italy, this journal has been dedicated to disseminating valuable insights and advancements in applied statistical methodology since its inception in 2008. With its ISSN of 2070-5948, the journal operates within an esteemed academic framework, contributing significantly to the field despite its current Q4 ranking in both Statistics and Probability and Modeling and Simulation categories as of 2023. As we continue to explore complex statistical models and simulation techniques, the journal encourages submissions that advance theoretical and practical understandings, inviting the global academic community to engage with transformative research endeavors. For those looking to stay informed and ahead in the dynamic world of applied statistics, the Electronic Journal of Applied Statistical Analysis is an essential resource.

Electronic Journal of Statistics

Transforming Data into Knowledge
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 1935-7524Frequency:

Electronic Journal of Statistics, published by INST MATHEMATICAL STATISTICS-IMS, is a premier open-access platform dedicated to the field of statistics and probability, with a remarkable track record since its inception in 2007. With an ISSN of 1935-7524, this journal has quickly established itself as a leading resource within the top Q1 category in both Statistics and Probability, as well as Statistics, Probability and Uncertainty, highlighting its significance and impact in the academic community. The journal’s commitment to disseminating high-quality research allows researchers, professionals, and students to access valuable findings and methodologies that contribute to the advancement of statistical sciences. With its convergence set to continue until 2024, the Electronic Journal of Statistics remains a vital source for scholars looking to enrich their knowledge and engage with cutting-edge statistical theories and applications.

Korean Journal of Applied Statistics

Catalyzing Collaboration Among Statistical Practitioners
Publisher: KOREAN STATISTICAL SOCISSN: 1225-066XFrequency: 6 issues/year

Korean Journal of Applied Statistics, published by the Korean Statistical Society, is a prominent journal dedicated to advancing the field of applied statistics. ISSN 1225-066X (Print) and E-ISSN 2383-5818 (Online), this journal serves as a vital platform for disseminating high-quality research that addresses the latest methodologies, applications, and innovations in statistical practices. Though currently not an open-access journal, it aims to foster collaboration among statisticians, researchers, and practitioners by providing rigorous peer-reviewed articles that enhance understanding and application of statistical techniques across various disciplines. With a commitment to integrating theory and practice, the Korean Journal of Applied Statistics stands as a crucial resource for those seeking to influence the evolving landscape of statistical research and its applications in Korea and beyond.

Statistics and Its Interface

Innovating Statistical Methods for Real-World Applications
Publisher: INT PRESS BOSTON, INCISSN: 1938-7989Frequency: 4 issues/year

Statistics and Its Interface, issn 1938-7989, published by INT PRESS BOSTON, INC, is a vital academic journal dedicated to bridging the critical intersection of statistics, applied mathematics, and interdisciplinary research. With its inaugural publication in 2011, this journal has continually aimed to provide a platform for innovative statistical methods and their application across various fields, offering valuable insights for researchers and practitioners alike. While the journal currently operates without an open access model, it maintains an essential position within the scholarly community, evidenced by its 2023 rankings in the third quartile for Applied Mathematics and the fourth quartile for Statistics and Probability. Furthermore, it holds a respectable position in Scopus rankings, reflecting its commitment to quality over quantity. By publishing cutting-edge research, Statistics and Its Interface serves as a critical resource for advancing statistical knowledge and cultivating a deeper understanding of its applications in real-world contexts.

ANNALS OF STATISTICS

Advancing Statistical Science Through Rigorous Research
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 0090-5364Frequency: 6 issues/year

ANNALS OF STATISTICS, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the field of statistical science, particularly recognized for its rigorous peer-reviewed articles and innovative contributions. With an impressive impact factor and categorized in the Q1 quartile for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, this journal is a vital resource for researchers, professionals, and students alike. Covering a comprehensive array of statistical theories and methodologies from 1996 to 2024, it aims to foster the advancement of mathematical statistics while addressing contemporary challenges in data analysis and interpretation. The journal, operating without an Open Access model, remains a key platform for disseminating high-quality research, evident from its commendable Scopus rankings of Rank #9 out of 278 in Statistics and Probability and Rank #9 out of 168 in Decision Sciences. Located in Cleveland, Ohio, the ANNALS OF STATISTICS is not just a journal but a beacon of knowledge that continues to influence statistical practices globally.

Journal of Statistical Theory and Practice

Unlocking the potential of statistics for diverse domains.
Publisher: SPRINGERISSN: 1559-8608Frequency: 1 issue/year

The Journal of Statistical Theory and Practice is a premier publication dedicated to disseminating cutting-edge research and methodologies within the fields of statistics and probability. Published by Springer, this journal plays a crucial role in advancing the discipline by providing a platform for both theoretical and applied statistical research. With an ISSN of 1559-8608 and an E-ISSN of 1559-8616, the journal has established itself as a notable contributor to academic discourse since its inception in 2007. It offers insights that are essential for researchers, professionals, and students, fostering a deeper understanding of statistical applications across various domains. Despite its current Q3 ranking in Statistics and Probability, the journal is poised for growth, supporting the academic community with open access options and an aim to bridge the gap between statistical theory and everyday practice. By continuing to curate high-quality research, the Journal of Statistical Theory and Practice is committed to enriching the field and encouraging innovative statistical methodologies up until its envisaged convergence in 2024.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Championing the Future of Statistical Methodologies
Publisher: TAYLOR & FRANCIS INCISSN: 0361-0918Frequency: 12 issues/year

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, published by TAYLOR & FRANCIS INC, is a pivotal journal in the fields of statistics, modeling, and simulation, catering to an audience of researchers, professionals, and students. With an ISSN of 0361-0918 and an E-ISSN of 1532-4141, this esteemed journal has been disseminating knowledge since 1976, covering a wide range of innovative methodologies and applications in statistics. Ranked in the third quartile for both Modeling and Simulation, and Statistics and Probability, as per the 2023 Category Quartiles, this journal serves as a crucial platform for advancing academic discourse and practical applications in these areas. Though not open access, it houses a wealth of peer-reviewed articles that contribute to the advancement of statistical theory and computational techniques, while its Scopus ranking positions it among the significant publications in the relevant fields. For those looking to stay at the forefront of statistical science, this journal is an invaluable resource.

STATISTICS

Connecting theory and practice in the world of statistics.
Publisher: TAYLOR & FRANCIS LTDISSN: 0233-1888Frequency: 6 issues/year

STATISTICS is a distinguished journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical science since its inception in 1985. With a strong focus on both the theoretical and practical aspects of Statistics and Probability, this journal serves as a vital platform for researchers, professionals, and students seeking to disseminate their findings and contribute to critical discussions in the discipline. Although categorized in the Q3 quartile for both Statistics and Probability and Statistics, Probability and Uncertainty, the journal's commitment to quality research is evidenced by its inclusion in relevant Scopus rankings. It holds respectable positions, ranked #132/168 in Decision Sciences and #219/278 in Mathematics. By providing a venue for high-quality research articles and reviews, STATISTICS aims to foster innovation, reinforce methodological advancements, and address contemporary challenges in statistical applications. The journal does not currently offer open access, but it is widely distributed, ensuring that significant research reaches the communities that need it most. Researchers are encouraged to submit their work to this essential resource that continues to shape the landscape of statistical inquiry.

JOURNAL OF APPLIED PROBABILITY

Advancing Knowledge Through Probability Applications
Publisher: CAMBRIDGE UNIV PRESSISSN: 0021-9002Frequency: 4 issues/year

JOURNAL OF APPLIED PROBABILITY is a prestigious peer-reviewed journal published by Cambridge University Press, focusing on the intricate interactions between probability theory and its applications in diverse scientific fields. With a rich history dating back to 1975, this journal caters to an audience of researchers, professionals, and students interested in advancing their knowledge in areas such as mathematics, statistics, and decision sciences. The journal thrives in the competitive landscape of academia, boasting a respectable impact factor and earning Q2 rankings in both Mathematics and Statistics categories as of 2023. It provides a platform for innovative research and methodologies that bridge theoretical concepts with real-world applications, thereby enriching the discipline of applied probability. Although it is not an open-access journal, the JOURNAL OF APPLIED PROBABILITY ensures comprehensive access options through institutional subscriptions, making it a vital resource for anyone engaged in sophisticated probabilistic analysis and its practical implementations.