ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES

Scope & Guideline

Shaping the Future of Probability and Statistical Inquiry

Introduction

Welcome to the ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageMulti-Language
ISSN0246-0203
PublisherINST MATHEMATICAL STATISTICS-IMS
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1997 to 2024
AbbreviationANN I H POINCARE-PR / Ann. Inst. Henri Poincare-Probab. 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 journal 'ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES' focuses on the field of probability theory and statistics. It aims to publish high-quality research that advances the understanding of probabilistic models and statistical methods, with an emphasis on theoretical developments and their applications.
  1. Probability Theory:
    The journal covers a wide range of topics in probability theory, including limit theorems, stochastic processes, and martingale theory, providing a platform for researchers to present foundational work that drives forward the field.
  2. Statistical Inference:
    Research on statistical inference, including methodologies for estimation, hypothesis testing, and model selection, is a core focus. The journal encourages innovative approaches to statistical challenges arising from complex data structures.
  3. Stochastic Processes:
    The study of stochastic processes, particularly those with applications in various fields such as physics, biology, and finance, is well-represented. The journal emphasizes rigorous mathematical treatment of these processes.
  4. Interdisciplinary Applications:
    The journal also highlights probabilistic models and statistical methods applied in interdisciplinary contexts, showcasing the relevance of probability and statistics in real-world problems.
  5. Advanced Mathematical Techniques:
    There is a consistent emphasis on advanced mathematical techniques, such as those involving random matrices, large deviations, and stochastic differential equations, reflecting the journal's commitment to high-level theoretical contributions.
The journal has also seen a notable evolution in its focus areas, with several emerging themes gaining traction in recent years. This section highlights these trending topics and their implications for the field.
  1. High-Dimensional Statistics:
    Research on high-dimensional statistics, including methods for dealing with large datasets and complex correlations, has gained prominence. This trend is particularly relevant in the era of big data, where traditional statistical methods may fall short.
  2. Stochastic Differential Equations (SDEs):
    There has been an increasing interest in stochastic differential equations, particularly those driven by Lévy processes and involving complex boundary conditions. This reflects a growing recognition of the importance of SDEs in modeling real-world phenomena.
  3. Random Matrix Theory:
    Emerging studies in random matrix theory are becoming more frequent, with applications in statistics and physics. This reflects a broader interest in the properties of large random systems and their implications in various fields.
  4. Functional Limit Theorems:
    The development of functional limit theorems, particularly in the context of stochastic processes, has shown a marked increase. This trend indicates a shift towards understanding the behavior of processes in a functional sense rather than just in distribution.
  5. Machine Learning and Statistical Learning Theory:
    Papers exploring the intersection of machine learning and statistical theory are on the rise. This reflects the increasing relevance of statistical foundations in designing and understanding machine learning algorithms.

Declining or Waning

While 'ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES' continues to thrive in many areas, certain themes have shown signs of reduced prominence in recent publications. This section explores these waning scopes.
  1. Classical Limit Theorems:
    Research focused on classical limit theorems, such as the Central Limit Theorem in its standard forms, has become less frequent. This shift suggests a movement towards more complex and nuanced applications of limit theorems, reflecting the evolving interests of the research community.
  2. Basic Markov Chains:
    While foundational studies on Markov chains remain important, the journal has seen a decline in the publication of works strictly centered on basic Markov chain theory, indicating a preference for more sophisticated models and applications.
  3. Elementary Statistical Techniques:
    Papers discussing elementary statistical techniques, such as basic regression methods, are appearing with less frequency. This may reflect a broader trend towards advanced statistical methodologies and machine learning approaches that leverage more complex data structures.

Similar Journals

STATISTICS & PROBABILITY LETTERS

Pioneering research that shapes the future of statistical theory.
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.

Theory of Probability and Mathematical Statistics

Exploring the Depths of Statistical Theory
Publisher: TARAS SHEVCHENKO NATL UNIV KYIV, FAC MECH & MATHISSN: 0094-9000Frequency: 2 issues/year

Theory of Probability and Mathematical Statistics, published by the Tarás Shevchenko National University of Kyiv, Faculty of Mechanics and Mathematics, serves as a vital resource for academics and practitioners in the field of statistics and probability. With an ISSN of 0094-9000 and E-ISSN 1547-7363, this journal aims to advance theoretical insights and practical applications related to probability theory and statistical methods. Operating from the heart of Ukraine, this journal has been influential since its inception in 2004 and continues to contribute to the academic community as it converges through a significant period until 2024. Despite currently not offering Open Access options, it maintains a respectable Q3 classification in both Statistics and Probability, highlighting its stability within the scholarly landscape. The journal's Scopus rankings further emphasize its specialization, ranking #121 in Statistics, Probability, and Uncertainty, and #203 in Mathematics, underscoring its importance for researchers, students, and professionals seeking to enrich their understanding and foster innovation in these disciplines.

STATISTICA SINICA

Unlocking the Potential of Statistical Innovation
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.

Statistica

Fostering Innovation Through Open Dialogue in Statistics
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.

ELECTRONIC COMMUNICATIONS IN PROBABILITY

Fostering Innovation in Probability and Statistics
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: Frequency: 1 issue/year

ELECTRONIC COMMUNICATIONS IN PROBABILITY is a distinguished open-access journal published by the Institute of Mathematical Statistics (IMS) that has been contributing to the field of statistics and probability since its inception in 1996. With a commitment to disseminating high-quality research, this journal plays a crucial role in fostering advancements in the areas of statistical theory and probabilistic models. The journal's impact is reflected in its notable rankings, including a Q2 categorization in both Statistics and Probability and Statistics, Probability and Uncertainty for 2023, indicating its relevance and scholarly influence in the academic community. Having a consistent converged publication timeline from 1996 to 2024, it provides researchers, professionals, and students with a platform to share and access innovative studies without barriers. With an aim to enhance our understanding of statistical applications and methodologies, ELECTRONIC COMMUNICATIONS IN PROBABILITY serves as an essential resource for those engaged in statistical research and applications.

ALEA-Latin American Journal of Probability and Mathematical Statistics

Fostering excellence in statistical theory and practice.
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.

BERNOULLI

Pioneering Excellence in Statistical Scholarship
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.

Stochastics-An International Journal of Probability and Stochastic Processes

Charting New Territories in Statistical Analysis
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.

Modern Stochastics-Theory and Applications

Fostering collaboration: Connecting scholars in the realm of stochastics.
Publisher: VTEXISSN: 2351-6054Frequency: 4 issues/year

Modern Stochastics-Theory and Applications is a dynamic, peer-reviewed academic journal dedicated to advancing the field of stochastics through rigorous research and innovative methodologies. Published by VTEX in Lithuania, the journal has embraced an Open Access model since 2014, ensuring that cutting-edge research is freely available to a global audience. With an ISSN of 2351-6054, it has steadily gained recognition in the academic community, achieving a 2023 ranking in the Q2 category for Modeling and Simulation and the Q3 categories in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty. Although still emerging, with noteworthy Scopus rankings highlighting its potential impact, the journal provides a vital platform for scholars to share their findings in stochastic modeling, simulation techniques, and statistical analysis. Researchers, professionals, and students alike are encouraged to contribute to and engage with this influential journal, solidifying its place in the academic landscape and fostering collaboration across disciplines.

THEORY OF PROBABILITY AND ITS APPLICATIONS

Cultivating Knowledge in Probability and Its Uses
Publisher: SIAM PUBLICATIONSISSN: 0040-585XFrequency: 4 issues/year

THEORY OF PROBABILITY AND ITS APPLICATIONS, published by SIAM Publications, is a crucial journal dedicated to advancing the field of probability and its extensive applications. With its ISSN 0040-585X and E-ISSN 1095-7219, this esteemed publication has been a vital resource for scholars and practitioners since its inception. Operating out of the United States, the journal has a commitment to supporting research that falls within the Q3 quartile in both Statistics and Probability, as well as in Statistics, Probability, and Uncertainty for 2023. Despite its current position in a competitive landscape, ranked #137 in Statistics, Probability and Uncertainty and #227 in Mathematics, this journal remains an essential platform for disseminating innovative ideas and breakthroughs in probability theory. Although it lacks an open-access model, its rigorous peer-reviewed articles offer invaluable insights to enhance both theoretical understanding and practical application. With a focus on fostering collaboration and inspiring future research, THEORY OF PROBABILITY AND ITS APPLICATIONS is indispensable for researchers, professionals, and students striving to delve deeper into the intricate world of probability.