Dependence Modeling

Scope & Guideline

Bridging Gaps in Statistics and Probability

Introduction

Welcome to your portal for understanding Dependence Modeling, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN2300-2298
PublisherDE GRUYTER POLAND SP Z O O
Support Open AccessYes
CountryPoland
TypeJournal
Convergefrom 2013 to 2024
AbbreviationDEPEND MODEL / Depend. Model.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressBOGUMILA ZUGA 32A STR, 01-811 WARSAW, MAZOVIA, POLAND

Aims and Scopes

The journal 'Dependence Modeling' focuses on the theoretical and applied aspects of dependence structures in multivariate statistics and probability theory. It aims to advance the understanding of dependence through the study of copulas and their applications across various fields.
  1. Copula Theory and Applications:
    The journal emphasizes the development and application of copulas, which are functions that describe the dependence between random variables, allowing for the modeling of complex multivariate distributions.
  2. Statistical Inference for Dependence Structures:
    It includes methodologies for estimating and testing copula models, focusing on the statistical inference and properties of copulas in various contexts, such as survival analysis and financial modeling.
  3. Modeling Techniques for Multivariate Data:
    The journal explores various modeling techniques for multivariate data, including the use of copulas for non-Gaussian dependence structures and the integration of copulas with other statistical approaches.
  4. Theoretical Developments in Dependence Structures:
    It contributes to the theoretical aspects of dependence modeling, including the exploration of new types of copulas, asymptotic properties, and mathematical foundations of dependence measures.
  5. Interdisciplinary Applications:
    The journal publishes research that applies dependence modeling in diverse fields such as finance, economics, environmental studies, and health sciences, showcasing its versatility and relevance.
Recent publications in 'Dependence Modeling' reveal emerging themes and trends that reflect the evolving landscape of dependence modeling and its applications. This section outlines these new areas of focus.
  1. High-Dimensional Dependence Modeling:
    There is a growing emphasis on high-dimensional copula models, driven by the increasing complexity of data in fields like finance and genomics, necessitating advanced techniques for managing large datasets.
  2. Nonparametric and Semiparametric Approaches:
    An emerging trend is the use of nonparametric and semiparametric methods for dependence modeling, which allows for greater flexibility and robustness in the face of model uncertainty.
  3. Integration of Machine Learning Techniques:
    The intersection of dependence modeling and machine learning is becoming more prominent, with researchers exploring how machine learning methods can enhance the estimation and prediction of dependence structures.
  4. Applications to Extreme Value Theory:
    There is an increasing focus on the application of copula models to extreme value theory, particularly in risk assessment and environmental studies, highlighting the relevance of dependence in extreme events.
  5. Network and Graphical Models:
    The exploration of dependence structures through network and graphical models is gaining traction, reflecting a broader interest in understanding complex relationships in multivariate datasets.

Declining or Waning

As the journal evolves, certain themes and methodologies that were previously prominent are now seeing a decline in publication frequency. This section highlights those waning areas of focus.
  1. Traditional Parametric Models:
    There is a noticeable decrease in the publication of papers focusing solely on traditional parametric models for dependence structures, as researchers increasingly prefer flexible and non-parametric approaches.
  2. Basic Copula Properties:
    Research centered on foundational properties of copulas is becoming less common, with a shift toward more complex interactions and applications rather than basic theoretical explorations.
  3. Single-Variable Analysis:
    There is a diminishing interest in studies that solely analyze single-variable distributions without considering their multivariate dependencies, reflecting a broader shift towards more comprehensive multivariate analyses.
  4. Static Dependence Structures:
    The exploration of static dependence structures is declining, as dynamic and time-varying models are gaining traction due to their applicability in real-world scenarios.

Similar Journals

RMS-Research in Mathematics & Statistics

Exploring New Frontiers in Mathematics and Statistics
Publisher: TAYLOR & FRANCIS LTDISSN: Frequency: 1 issue/year

RMS-Research in Mathematics & Statistics is a leading journal published by Taylor & Francis Ltd that focuses on advancing knowledge in the fields of mathematics and statistics. With an emphasis on both theoretical developments and practical applications, this journal aims to bridge the gap between academic research and real-world implementations, making it a vital resource for researchers, professionals, and students alike. As an Open Access publication, RMS ensures that cutting-edge research is freely available to a global audience, fostering collaboration and innovation in the mathematical and statistical communities. The journal encourages submissions that address significant challenges and explore new methodologies across various disciplines, emphasizing the importance of rigorous scholarship and impactful findings. With the increasing relevance of data analysis and mathematical modeling in today's world, RMS serves as an essential platform for disseminating high-quality research that can influence the future directions of these critical fields.

SCANDINAVIAN JOURNAL OF STATISTICS

Elevating the discourse in statistics since 1996.
Publisher: WILEYISSN: 0303-6898Frequency: 4 issues/year

SCANDINAVIAN JOURNAL OF STATISTICS is a premier publication in the field of statistics, published by Wiley. With an impressive impact factor that reflects its influence, this journal is recognized for its rigorous peer-reviewed research articles that contribute to the advancement of statistical methods and their applications. As a leading resource, the journal spans a wide range of topics within Statistics and Probability, maintaining a strong scholarly presence with a Q1 rank in Statistics and Probability and a Q2 rank in Statistics, Probability and Uncertainty as per the 2023 category quartiles. The journal has been diligently publishing high-quality research since 1996, and now encompasses studies up to 2024, reinforcing its commitment to providing valuable insights for researchers, professionals, and students alike. While the journal does not offer open access, it remains an essential repository of knowledge in statistical sciences, fostering collaboration and innovation within the global academic community.

Hacettepe Journal of Mathematics and Statistics

Advancing the Frontiers of Mathematics and Statistics
Publisher: HACETTEPE UNIV, FAC SCIISSN: Frequency: 6 issues/year

Hacettepe Journal of Mathematics and Statistics, published by Hacettepe University in Turkey, is a vital platform for scholars in the fields of mathematics and statistics. With a commitment to promoting rigorous research, this journal covers a diverse range of topics including Algebra and Number Theory, Analysis, Geometry and Topology, and Statistics and Probability. Since its inception in 2008 and looking forward to its continued convergence up until 2024, it has established itself as a resource for both theoretical and applied mathematics. Although it currently holds a Q4 ranking in Algebra and Number Theory and Q3 in multiple other categories, its commitment to quality research is evident through its Scopus rankings, positioning it favorably among its peers. The journal operates on an open access model, facilitating wide dissemination of knowledge, and is particularly appealing to researchers, professionals, and students aiming to stay at the forefront of mathematical sciences. With an E-ISSN of 2651-477X, the Hacettepe Journal of Mathematics and Statistics aspires to foster collaboration and innovation in the mathematical community.

PROBABILITY THEORY AND RELATED FIELDS

Pioneering Insights in Probability Theory and Applications
Publisher: SPRINGER HEIDELBERGISSN: 0178-8051Frequency: 6 issues/year

PROBABILITY THEORY AND RELATED FIELDS is a premier journal published by SPRINGER HEIDELBERG, dedicated to advancing the field of probability and its applications. With an ISSN of 0178-8051 and an E-ISSN of 1432-2064, this journal has established itself as a leading platform for innovative research, featuring significant contributions to the theories and methodologies in probability, statistics, and uncertainty analysis. Its impressive ranking in the 2023 category quartiles places it in the Q1 tier within Analysis, Statistics and Probability, highlighting its importance in the academic community. The journal is widely recognized for its rigorous peer-review process, ensuring high-quality publications that cater to researchers, professionals, and students alike. Located in Germany at TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, it continues to shape the future of statistical sciences from 1986 until 2024 and beyond. Researchers in the field are encouraged to contribute their findings, ensuring the journal remains at the forefront of innovative statistical research.

ESAIM-Probability and Statistics

Empowering researchers with analytical breakthroughs.
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.

Statistica

Exploring the Frontiers of Statistical Science and Applied Mathematics
Publisher: UNIV STUDI BOLOGNA, DIPT SCIENZE STATISTICHE PAOLO FORTUNATIISSN: 0390-590XFrequency: 4 issues/year

Statistica, an esteemed journal published by the Università degli Studi di Bologna, Dipartimento di Scienze Statistiche Paolo Fortunati, is a vital resource within the fields of statistical science and applied mathematics. Since its inception in 1969, this open-access journal has served as a platform for original research and comprehensive reviews, facilitating the dissemination of knowledge to a global audience. As of 2023, it is indexed in Scopus, holding a noteworthy position in the 43rd percentile in the realm of Decision Sciences and Statistics. Researchers and practitioners benefit from its focus on contemporary statistical methods, data analysis, and probability theory. With a commitment to fostering academic dialogue and collaboration, Statistica aims to highlight innovative findings and applications, ensuring that the community remains at the forefront of statistical advancements.

Sankhya-Series A-Mathematical Statistics and Probability

Elevating the Discourse in Probability and Statistical Methodologies
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.

ALEA-Latin American Journal of Probability and Mathematical Statistics

Exploring the frontiers of probability and mathematical statistics.
Publisher: IMPAISSN: 1980-0436Frequency:

ALEA - Latin American Journal of Probability and Mathematical Statistics is a pivotal publication in the field of statistical theory and probabilistic modeling, published by the renowned Instituto de Matemática Pura e Aplicada (IMPA) in Brazil. Since its inception in 2011, this journal has steadily established itself as a key resource for researchers and academics, currently ranked in the Q2 category for Statistics and Probability as of 2023. With an H-index reflecting the sustained influence of its published research, ALEA serves not only as a platform for innovative studies but also as a vital conduit for the dissemination of cutting-edge statistical methodologies across the Latin American region and beyond. The journal is committed to maintaining high scholarly standards, encouraging open discussions on theoretical and applied aspects of probability and statistics. Access options include subscription-based access, ensuring a wide reach for its scholarly content. Whether you are a seasoned professional or a student embarking on your research journey, ALEA offers invaluable insights that contribute to the advancement of knowledge in the ever-evolving realm of mathematical statistics.

Thailand Statistician

Connecting Researchers and Practitioners in Statistics
Publisher: THAI STATISTICAL ASSOCISSN: 1685-9057Frequency: 2 issues/year

Thailand Statistician, published by the THAI STATISTICAL ASSOCIATION, is a pivotal journal in the realms of computational mathematics and statistics. With an ISSN of 1685-9057 and an E-ISSN of 2351-0676, this journal aims to disseminate high-quality research and innovative methodologies that advance the fields of statistics and probability. Covering a range of topics from theoretical statistics to applied computational techniques, it provides a platform for researchers, professionals, and students in Thailand and beyond to contribute their findings and insights. The journal has been gaining recognition, boasting a Scopus ranking of Q3 in Computational Mathematics and Q4 in Statistics and Probability as of 2023. With its commitment to open access, the Thailand Statistician stands as an essential resource for those striving to stay abreast of advancements in statistical methodologies and their applications, fostering the growth of statistical science in the region and globally.

Pakistan Journal of Statistics and Operation Research

Fostering a Global Dialogue on Statistical Excellence
Publisher: UNIV PUNJABISSN: 1816-2711Frequency: 4 issues/year

The Pakistan Journal of Statistics and Operation Research is an esteemed academic publication dedicated to the fields of statistics, operations research, and their applications. Published by University of Punjab, this journal features innovative research that contributes significantly to the advancement of knowledge in Management Science, Modeling and Simulation, and Statistics and Probability. With an impressive Scopus ranking and categorized in Q2 and Q3 quartiles, it actively disseminates high-quality findings in these critical areas of study, making it an essential resource for researchers, professionals, and students seeking to enhance their understanding and application of statistical methodologies and operational frameworks. Although it is primarily published in Pakistan, the journal’s influence is recognized internationally, encouraging a global perspective on complex statistical challenges. With its convergence years spanning from 2011 to 2024, readers can expect a continual flow of cutting-edge research and practical insights that address the evolving demands of the field.