BERNOULLI

Scope & Guideline

Elevating Statistical Theory and Application

Introduction

Delve into the academic richness of BERNOULLI with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1350-7265
PublisherINT STATISTICAL INST
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1995 to 2024
AbbreviationBERNOULLI / Bernoulli
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address428 PRINSES BEATRIXLAAN, 2270 AZ VOORBURG, NETHERLANDS

Aims and Scopes

The journal "BERNOULLI" primarily focuses on the intersection of probability theory, statistics, and applied mathematics, emphasizing rigorous methodologies and innovative statistical models. The scope encompasses a wide range of topics, from theoretical advancements in stochastic processes to practical applications in various fields such as finance, biology, and machine learning.
  1. Probability Theory:
    The journal publishes research that advances the understanding of probability theory, including stochastic processes, Markov chains, and random walks, often focusing on their theoretical foundations and implications.
  2. Statistical Inference:
    A significant emphasis is placed on statistical inference, covering methodologies such as Bayesian inference, hypothesis testing, and nonparametric statistics. This includes developments in model selection and estimation techniques.
  3. High-Dimensional Data Analysis:
    The journal addresses challenges and methodologies related to high-dimensional data, including statistical learning, machine learning applications, and the complexities arising from high-dimensional settings.
  4. Stochastic Differential Equations (SDEs) and Processes:
    Research on SDEs, particularly their applications in various fields and their theoretical properties, is a core area of focus, including discussions on ergodicity and convergence.
  5. Empirical Processes and Asymptotic Theory:
    The journal often features studies on empirical processes, convergence rates, and limit theorems, contributing to the theoretical underpinnings of statistical methodologies.
  6. Bayesian Methods:
    There is a growing interest in Bayesian methodologies, particularly in the context of complex models and high-dimensional data, showcasing innovative approaches to parameter estimation and model assessment.
Recent publications in "BERNOULLI" reveal several emerging themes that reflect the dynamic nature of research in probability and statistics. These themes indicate a shift towards more complex models and interdisciplinary approaches.
  1. Machine Learning and Statistical Learning Theory:
    There is an increasing trend towards integrating machine learning techniques with traditional statistical methods, focusing on high-dimensional inference, predictive modelling, and algorithmic efficiency.
  2. Nonparametric and Semiparametric Methods:
    Emerging interest in nonparametric and semiparametric approaches highlights the need for flexible modeling techniques that can adapt to various data structures without strict parametric assumptions.
  3. Complex Stochastic Systems:
    Research on complex stochastic systems, including applications in network theory and ecological modeling, is gaining traction, reflecting a broader interest in interdisciplinary applications of probability.
  4. Bayesian Nonparametrics:
    The rise of Bayesian nonparametric methods indicates a growing interest in flexible modeling frameworks that can adapt to data complexity, particularly in high-dimensional settings.
  5. Statistical Methods for Big Data:
    As data continues to grow in volume and complexity, statistical methods specifically designed for big data applications, including scalable algorithms and robust inference techniques, are increasingly prevalent.

Declining or Waning

While "BERNOULLI" remains a leading journal in probability and statistics, certain themes have shown a decline in publication frequency or prominence in recent years. This shift reflects evolving research interests and the emergence of new methodologies.
  1. Classical Statistical Methods:
    Traditional statistical methods, such as simple linear regression and basic hypothesis testing, are being overshadowed by more complex and adaptive techniques that address the challenges posed by modern data.
  2. Deterministic Models in Probability:
    There appears to be a waning interest in purely deterministic models, as researchers increasingly favor stochastic approaches that better capture the inherent randomness in real-world phenomena.
  3. Elementary Probability Distributions:
    Research focusing on basic probability distributions (e.g., normal, binomial) is less prevalent, as the journal shifts towards more complex distributions and their applications in high-dimensional contexts.

Similar Journals

Chilean Journal of Statistics

Bridging theory and application in the world of statistics.
Publisher: SOC CHILENA ESTADISTICA-SOCHEISSN: 0718-7912Frequency: 2 issues/year

The Chilean Journal of Statistics is a vital resource for researchers, professionals, and students dedicated to the field of statistics and probability. Published by SOC CHILENA ESTADISTICA-SOCHE, this journal serves as a platform for the dissemination of innovative research and advancements in statistical methodologies, data analysis, and applications. With an ISSN of 0718-7912 and E-ISSN 0718-7920, the journal features contributions from the statistical community in Chile and beyond, reflecting its growing influence as evidenced by its classification in the Q3 quartile for 2023. Operating out of Chile, specifically from Santiago, the journal aims to converge its scope from 2019 to 2024 on providing high-quality, peer-reviewed articles that can inform and inspire academic and professional practices. While it is not an open-access journal, it remains a crucial outlet for impactful statistical research, fostering a deeper understanding of statistical concepts and their real-world applications.

Sankhya-Series A-Mathematical Statistics and Probability

Unveiling the Latest Breakthroughs in Statistical Science
Publisher: SPRINGERISSN: 0976-836XFrequency: 2 issues/year

Sankhya-Series A-Mathematical Statistics and Probability is a prestigious academic journal published by SPRINGER, situated in the United States. With a focus on the rapidly evolving fields of mathematical statistics and probability, this journal serves as a critical platform for researchers, professionals, and students seeking to disseminate their findings and engage with latest advancements. Although it is not an open access publication, its rigorous peer-review process ensures high-quality content that contributes to the scholarly community. As of 2023, the journal is classified within the Q3 quartile in both Statistics and Probability, and Statistics, Probability and Uncertainty categories, reflecting its relevance and growing influence in the field. Sankhya-Series A showcases a convergence of interdisciplinary approaches, facilitating dialogue among statisticians and mathematicians, making it an essential resource for those committed to the exploration of theoretical and applied statistics. The journal accepts contributions advancing innovative research and methodologies, promoting a deeper understanding of probabilistic models and statistical techniques.

STATISTICA SINICA

Championing Cutting-Edge Developments in Statistics
Publisher: STATISTICA SINICAISSN: 1017-0405Frequency: 4 issues/year

STATISTICA SINICA, published by the esteemed STATISTICA SINICA organization, stands as a premier journal in the fields of Statistics and Probability, boasting a significant impact within the academic community. With an ISSN of 1017-0405 and E-ISSN of 1996-8507, this journal has evolved from its inception in 1996, continuing to publish cutting-edge research through 2024. As recognized by its recent categorization in Q1 quartiles in both Statistics and Probability and Statistics, Probability and Uncertainty for 2023, it ranks among the top journals in its discipline, meriting attention from researchers and practitioners alike. Despite lacking open access options, it delivers rigorous, peer-reviewed articles that contribute to the advancement of statistical science. With its base in Taiwan, and a dedicated editorial team located at the Institute of Statistical Science, Academia Sinica, Taipei, STATISTICA SINICA continues to be a vital resource for statisticians, data scientists, and related professionals seeking innovative methodologies and insights within this dynamic field.

Journal of the Indian Society for Probability and Statistics

Fostering Collaboration 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.

ESAIM-Probability and Statistics

Fostering collaboration through statistical innovation.
Publisher: EDP SCIENCES S AISSN: 1292-8100Frequency: 1 issue/year

ESAIM-Probability and Statistics, published by EDP Sciences S A, is a prominent journal focused on advancing the field of probability and statistics. With an ISSN of 1292-8100 and E-ISSN 1262-3318, this journal has been a beacon of scholarly communication since its inception in 1997. Operating out of France, it offers a platform for researchers and professionals to share significant findings and foster collaboration within the statistical community. Designated as Q3 in the Statistics and Probability category for 2023, it plays a vital role in the dissemination of critical research, despite its recent Scopus ranking of 226 out of 278 indicative of its growing visibility and impact. Researchers, students, and professionals alike benefit from its rich pool of analytical insights and innovative methodologies, marking it as an essential resource for those immersed in statistical theory and applications. With a commitment to excellence in research, ESAIM-Probability and Statistics continues to contribute to the instructional and professional development of its readership.

Probability and Mathematical Statistics-Poland

Advancing the Frontiers of Probability and Statistics
Publisher: WYDAWNICTWO UNIWERSYTETU WROCLAWSKIEGOISSN: 0208-4147Frequency: 2 issues/year

Probability and Mathematical Statistics-Poland is a pivotal journal in the field of applied and theoretical statistics, published by WYDAWNICTWO UNIWERSYTETU WROCLAWSKIEGO. With an ISSN of 0208-4147, it serves as a platform for disseminating significant research grounded in mathematical statistics, probabilistic models, and their applications across various scientific disciplines. Although the journal resides in the Q4 category for Statistics and Probability, it plays an essential role for researchers seeking a peer-reviewed avenue for their work, particularly those affiliated with academic institutions in Poland and beyond. The journal has been in continuous publication from 2011 to 2023, reflecting its commitment to advancing knowledge in the field despite its current ranking at the 12th percentile in the Scopus listings. As an invaluable resource for researchers, professionals, and students alike, Probability and Mathematical Statistics-Poland encourages contributions that explore innovative statistical methodologies and their practical implications, fostering a deeper understanding of probability theory and its relevance in contemporary research.

Journal of Probability and Statistics

Empowering Insights in Probability and Statistics
Publisher: HINDAWI LTDISSN: 1687-952XFrequency: 1 issue/year

Journal of Probability and Statistics, published by HINDAWI LTD, is a distinguished open-access journal that has been serving the academic community since 2009. With an ISSN of 1687-952X and E-ISSN 1687-9538, this journal facilitates the dissemination of research covering various foundational and applied aspects of probability and statistics. As researchers, professionals, and students in the fields of mathematics and statistical sciences seek to advance their knowledge and understanding, this journal offers a unique platform for innovative studies and comprehensive reviews. Although the journal has been discontinued from Scopus from 2009 to 2020, it continues to play an essential role within its niche, despite its Scopus ranking of #181/227 (20th percentile) in Statistics and Probability. The open-access model ensures that valuable findings are readily accessible to a global audience, fostering collaboration and engagement across diverse disciplines. Join the multitude of contributors and readers who rely on the Journal of Probability and Statistics as a vital resource for research and education in this ever-evolving field.

Statistics and Its Interface

Transforming Data into Knowledge Across Disciplines
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.

STATISTICAL SCIENCE

Advancing the Frontiers of Statistical Methodology.
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 0883-4237Frequency: 4 issues/year

STATISTICAL SCIENCE, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the fields of Statistics and Probability, commencing its journey in 1986 and continuing through 2024. With an impressive track record reflected in its Q1 quartile rankings in Mathematics, Statistics and Probability, and Statistics, Probability and Uncertainty for 2023, it holds a distinguished position in the academic community. The journal is recognized for its rigorous peer-review process and for publishing high-quality research that significantly contributes to advancing statistical methodology and its applications across various domains. Researchers and professionals are encouraged to engage with its contents to stay abreast of the latest developments and methodologies in statistical science. Although it does not offer open access, the valuable insights provided within its pages are essential for any scholar dedicated to the pursue of statistical excellence. As you navigate the complexities of data analysis and interpretation, STATISTICAL SCIENCE is your go-to resource for groundbreaking research, innovative techniques, and comprehensive reviews.

SOUTH AFRICAN STATISTICAL JOURNAL

Innovating methodologies for real-world statistical challenges.
Publisher: SOUTH AFRICAN STATISTICAL ASSOCISSN: 0038-271XFrequency: 2 issues/year

SOUTH AFRICAN STATISTICAL JOURNAL, published by the SOUTH AFRICAN STATISTICAL ASSOCIATION, stands as a pivotal platform for advancing the field of statistics and probability, particularly within the South African context. Operating since 1996, this journal aims to bridge the gap between theoretical advancements and practical applications of statistical methodologies. Although currently categorized in the Q4 quartile in both Statistics and Probability, as well as Statistics, Probability and Uncertainty, it continues to serve as a crucial resource for researchers, practitioners, and students alike, encouraging the dissemination of research that tackles real-world statistical challenges. Despite not being an open access publication, the journal’s contributions are vital for anyone interested in the evolving landscape of statistical sciences, with each issue delving into diverse topics relevant to the field. With an ISSN of 0038-271X and an E-ISSN of 1996-8450, it invites the academic community to deepen their understanding and engagement with statistical practices through its thoughtfully curated content. The journal's emphasis on collaboration and knowledge-sharing is key in fostering innovation and enhancing statistical literacy within and beyond South Africa.