STOCHASTIC MODELS

Scope & Guideline

Navigating the landscape of probability and statistics.

Introduction

Explore the comprehensive scope of STOCHASTIC MODELS 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 STOCHASTIC MODELS in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1532-6349
PublisherTAYLOR & FRANCIS INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2002 to 2024
AbbreviationSTOCH MODELS / Stoch. Models
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106

Aims and Scopes

The journal 'Stochastic Models' focuses on the development and application of stochastic modeling techniques across various fields, emphasizing theoretical advancements and practical implementations. Its scope encompasses a broad range of stochastic processes and their applications in areas such as finance, biology, and engineering.
  1. Stochastic Processes and Applications:
    The journal emphasizes the study of stochastic processes, including Markov chains, Lévy processes, and branching processes, and their applications in diverse fields such as finance, biology, and queueing theory.
  2. Statistical Inference and Estimation:
    A core area of focus is the development of statistical methods for estimating parameters of stochastic models, including asymptotic properties and convergence results.
  3. Modeling and Simulation:
    The journal publishes research on the modeling and simulation of complex systems, particularly those that incorporate randomness and uncertainty, such as fluid models and epidemic models.
  4. Risk Analysis and Management:
    Research addressing risk modeling, including financial risk management and reliability analysis of stochastic systems, is central to the journal's aims.
  5. Interdisciplinary Applications:
    The journal encourages interdisciplinary research that applies stochastic modeling techniques to solve real-world problems in various domains, including environmental science and healthcare.
Recent publications in 'Stochastic Models' reveal several trending and emerging themes that highlight the journal's responsiveness to contemporary research needs and advancements in stochastic modeling methodologies.
  1. Hybrid Stochastic Models:
    There is an increasing trend towards hybrid models that combine various stochastic processes (e.g., fluid models with Lévy processes) to better capture the complexities of real-world phenomena.
  2. Risk Management Under Uncertainty:
    A significant focus has emerged on advanced risk management strategies that incorporate stochastic volatility and model ambiguity, reflecting the growing complexity of financial markets and the need for robust solutions.
  3. Epidemiological Modeling:
    Research on stochastic models related to epidemic spreading and infectious disease dynamics has gained prominence, particularly in light of recent global health challenges.
  4. Machine Learning and Stochastic Processes:
    The integration of machine learning techniques with stochastic modeling is becoming increasingly prevalent, as researchers seek to enhance model predictions and analyze large datasets.
  5. Complex Systems and Network Dynamics:
    There is a notable rise in studies exploring the dynamics of complex systems and networks, particularly those that involve stochastic interactions and dependencies among components.

Declining or Waning

While 'Stochastic Models' continues to thrive in many areas, certain themes have shown a decline in frequency and prominence within recent publications. These waning scopes may reflect shifts in research interests or advancements in methodologies.
  1. Traditional Queueing Theory:
    Research focused solely on classical queueing theory models appears to be diminishing. Instead, there is a growing interest in hybrid models that integrate queueing with other stochastic processes.
  2. Basic Risk Models without Complex Dependencies:
    The exploration of basic risk models that do not account for complex dependency structures has declined, indicating a shift towards more sophisticated models that incorporate various forms of dependence.
  3. Static Stochastic Models:
    The frequency of publications on static models without dynamic or time-dependent components has decreased, suggesting a move towards more dynamic and adaptive modeling approaches.

Similar Journals

Journal of the Indian Society for Probability and Statistics

Innovating Statistical Methodologies for a Dynamic World
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.

STATISTICS & PROBABILITY LETTERS

Fostering rigorous research for a deeper understanding of uncertainty.
Publisher: ELSEVIERISSN: 0167-7152Frequency: 12 issues/year

STATISTICS & PROBABILITY LETTERS is a distinguished journal published by ELSEVIER, dedicated to advancing the field of statistics and probability. With an ISSN of 0167-7152 and an E-ISSN of 1879-2103, this journal is an essential platform for research, featuring cutting-edge studies and significant findings in the realms of statistical theory and applied probability. The journal operates under a notable Q3 ranking in both the categories of Statistics and Probability, and Statistics, Probability and Uncertainty for 2023, underscoring its relevance in these fields. Researchers, professionals, and students alike benefit from its rigorous peer-review process and its commitment to published integrity, fostering innovative insights from 1982 through its anticipated convergence in 2025. While it does not offer open access, the journal’s widely recognized impact within the academic community makes it a valuable resource for anyone seeking to deepen their understanding of statistical methodologies and probabilistic models.

Probability and Mathematical Statistics-Poland

Exploring the Depths of Probability Theory
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.

Stochastics-An International Journal of Probability and Stochastic Processes

Bridging Theory and Application in Stochastic Research
Publisher: TAYLOR & FRANCIS LTDISSN: 1744-2508Frequency: 8 issues/year

Stochastics: An International Journal of Probability and Stochastic Processes, published by Taylor & Francis Ltd, is a pivotal platform for the dissemination of innovative research in the realms of probability and stochastic processes. Since its inception in 1975, the journal has evolved to encapsulate a rich array of methodologies and applications, contributing significantly to the fields of modeling, simulation, and statistical analysis. With a current impact factor ranking in the Q3 category for both Modeling and Simulation and Statistics and Probability, it positions itself as a valuable resource for professionals, researchers, and students alike. The journal’s coverage spans a unique historical arc from 1975, and it continues to push boundaries up to 2024, ensuring the latest trends and discoveries are accessible to an engaged audience. Though not Open Access, the journal’s scholarly contributions are crucial for advancing understanding and innovation in stochastic modeling, making it an essential read for those seeking to deepen their expertise in the field.

JOURNAL OF APPLIED PROBABILITY

Unveiling the Power of Probability in Science
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.

ANNALS OF APPLIED PROBABILITY

Empowering Researchers through High-Quality Discourse
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 1050-5164Frequency: 6 issues/year

ANNALS OF APPLIED PROBABILITY is a prestigious journal dedicated to advancing the field of applied probability, providing a platform for rigorous research and innovative applications. Published by the Institute of Mathematical Statistics (IMS), this journal has earned a reputable standing in the academic community, reflected in its 2023 ranking as Q1 in both Statistics and Probability and Statistics, Probability and Uncertainty. With a focus on disseminating high-quality articles, it plays a critical role in bridging theoretical advancements and practical applications in various domains of probability. The journal features a robust editorial process and attracts contributions from leading researchers, fostering a vibrant discourse essential for academic and professional development. Researchers and practitioners seeking to deepen their knowledge and stimulate intellectual growth will find the ANNALS OF APPLIED PROBABILITY an invaluable resource, with its significance exemplified by its Scopus rankings that showcase its influence within the statistics community.

STOCHASTIC ANALYSIS AND APPLICATIONS

Unraveling the complexities of randomness in diverse fields.
Publisher: TAYLOR & FRANCIS INCISSN: 0736-2994Frequency: 6 issues/year

STOCHASTIC ANALYSIS AND APPLICATIONS is a prestigious peer-reviewed journal published by Taylor & Francis Inc, dedicated to advancing the field of stochastic processes and their applications across various disciplines. With an ISSN of 0736-2994 and an E-ISSN of 1532-9356, this journal has established itself as a vital resource for researchers and practitioners, offering high-quality articles that address both theoretical and practical aspects of stochastic analysis. As of 2023, the journal holds a commendable Q2 rank in the fields of Applied Mathematics, Statistics and Probability, and Statistics, Probability and Uncertainty, reflecting its significant impact in these domains. The journal is indexed in Scopus and ranks in the top percentiles for its categories, making it an essential read for scholars interested in the latest developments in stochastic methods and their real-world implications. Although it does not offer open access, the journal ensures that its contents are widely disseminated within academia, fostering knowledge that drives innovation and application in various sectors.

PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES

Pioneering research at the nexus of probability and technology.
Publisher: CAMBRIDGE UNIV PRESSISSN: 0269-9648Frequency: 4 issues/year

PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES is a premier journal published by Cambridge University Press, dedicated to advancing the fields of statistics, probability, and their applications within engineering and informational sciences. With an ISSN of 0269-9648 and an E-ISSN of 1469-8951, this journal has established itself as a significant resource since its inception in 1987, continuing to publish impactful research through 2024. Ranking in the Q2 category for Industrial and Manufacturing Engineering and holding Q3 status in multiple relevant categories, it boasts a respectable impact in academia, reflected in its Scopus rankings across various disciplines. Although not an open-access journal, it remains essential for researchers interested in the integration of probabilistic methods in contemporary engineering challenges. By providing a platform for innovative studies and practical applications, PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES plays a crucial role in shaping future research and methodologies in these overlapping domains, fostering collaboration and knowledge exchange among researchers, professionals, and students alike.

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.

Markov Processes and Related Fields

Innovating Insights into Stochastic Dynamics
Publisher: POLYMATISSN: 1024-2953Frequency: 4 issues/year

Markov Processes and Related Fields, published by POLYMAT, is a pivotal journal in the field of applied mathematics and statistics, aimed at researchers, practitioners, and students who seek to deepen their understanding of complex stochastic processes and their applications. With an ISSN of 1024-2953 and a convergence of scholarly work from 2012 to 2023, this journal not only contributes to the discourse around Markov processes but also positions itself within the competitive landscape of academic publishing, as evidenced by its Q4 ranking in both Applied Mathematics and Statistics and Probability for 2023. While the journal is not open access, it provides critical insights and developments that are essential for driving forward research in these fields. The journal's contributions enhance knowledge transfer among academia and industry, fostering innovation and application in various sectors. As researchers and students engage with its content, they will find a wealth of information that challenges conventional thinking and encourages novel approaches to statistical modeling and analysis.