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Publishing high quality papers on subjects related to classical analysis, partial differential equations, algebraic geometry, differential geometry, and topology.

The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

Computational Statistics (CompStat) is an international journal that fosters the publication of applications and methodological research in the field of computational statistics. The journal provides a forum for computer scientists, mathematicians, and statisticians working in a variety of areas in statistics, including biometrics, econometrics, data analysis, graphics, simulation, algorithms, knowledge-based systems, and Bayesian computing. CompStat papers emphasize the contribution to and influence of computing on statistics and vice versa. The journal also publishes hardware, software, and package reports as well as book reviews.Officially cited as: Comput Stat

Computational Statistics & Data Analysis (CSDA), the official journal of the International Association of Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of three refereed sections, and a fourth section dedicated to news on statistical computing. The refereed sections are divided into the following subject areas:I) Computational Statistics - Manuscripts dealing with: 1) the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics, computational econometrics, computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge based systems, machine learning, neural networks, numerical and optimization methods, parallel computing, statistical databases, statistical systems), and 2) the development, evaluation and validation of statistical software and algorithms. Software and algorithms can be submitted with manuscripts and will be stored together with the online article.II) Statistical Methodology for Data Analysis - Manuscripts dealing with novel and original data analytical strategies and methodologies applied in biostatistics (design and analytic methods for clinical trials, epidemiological studies, statistical genetics, or genetic/environmental interactions), chemometrics, classification, data exploration, density estimation, design of experiments, econometrics, environmetrics, education, image analysis, marketing, model free data exploration, pattern recognition, psychometrics, statistical physics, image processing, robust procedures.Statistical methodology includes, but not limited to: bootstrapping, classification techniques, clinical trials, data exploration, density estimation, design of experiments, pattern recognition/image analysis, parametric and nonparametric methods, statistical genetics, Bayesian modeling, outlier detection, robust procedures, cross-validation, functional data, fuzzy statistical analysis, mixture models, model selection and assessment, nonlinear models, partial least squares, latent variable models, structural equation models, supervised learning, signal extraction and filtering, time-series modelling, longitudinal analysis, multilevel analysis and quality control.III) Special Applications - Manuscripts at the interface of statistics and computing (e.g., comparison of statistical methodologies, computer-assisted instruction for statistics, simulation experiments). Advanced statistical analysis with real applications (economics, social sciences, marketing, psychometrics, chemometrics, signal processing, finance, medical statistics, environmentrics, statistical physics).

Digital Discovery welcomes both experimental and computational work on all topics related to the acceleration of discovery such as screening, robotics, databases and advanced data analytics, broadly defined, but anchored in chemistry. The journal welcomes Artificial intelligence and data science methodologies for chemical, materials science, biochemical, biomedical or biophysical sciences including Computer-assisted retrosynthesis, Generative models for scientific design, Machine learning classification and regression models, Modern molecular, materials, and biological representations, Methods for Bayesian optimization and design of experiments, Advances and applications of interpretable models, Image recognition, Natural language processing, Literature mining tools, Advanced data workflows, Advances in robotics for science, Experimental control software, Databases, New robotic setups, New automated sensors, Novel synthetic methodologies and workflows, High-throughput computational science, Directed or accelerated evolution, DNA Encoded Library Technology, Cryptochemistry, and Blockchain-enabled science.

Dynamic Games and Applications is devoted to the development of all classes of dynamic games, namely, differential games, discrete-time dynamic games, evolutionary games, repeated and stochastic games, and their applications in all fields, including:* biology:* computer science:* ecology:* economics:* engineering:* management science:* operations research:* political science:* psychology. DGAA seeks original research that makes significant methodological, conceptual, algorithmic, or empirical contributions to various disciplines. DGAA also considers work in static game theory and dynamic optimization provided that authors establish a clear, potential link to dynamic games. DGAA publishes regular papers, technical notes, survey articles, and case studies.All submissions should be original in nature. During the peer review process, to promote scientific honesty and high standards, submitted manuscripts go through one or more revision stages leading up to acceptance or rejection.  Each paper is reviewed by at least two experts in the field.

The Royal Society of Edinburgh (RSE) is Scotland's National Academy.  Its mission is to advance learning and useful knowledge and by doing so it supports the cultural, economic and social well-being of Scotland and its people.  It is not influenced by causes promoted by others and is an important source of independent expertise across the whole range of intellectual, business and public life in Scotland.

The Electronic Journal of Probability publishes full-size research articles in probability theory. The Electronic Communications in Probability (ECP), a sister journal of EJP, publishes short notes and research announcements in probability theory.Both ECP and EJP are official journals of the Institute of Mathematical Statisticsand the Bernoulli society.Both EJP and ECP have been selected for coverage in Thomson ISI® services. Beginning with Volume 9 (2004), information on the contents of these two Journals are indexed in: * Science Citation Index Expanded®* ISI Alerting Services®* CompuMath Citation Index®* Current Contents®/Physical, Chemical, and Earth Sciences®This Journal has several mirror sites, which may not always be most current. The master site is located at the Department of Mathematics, University of Washington, Seattle, USA which carries the most updated version.

The Electronic Journal of Statistics (EJS) publishes research articles and short notes on theoretical, computational and applied statistics. The journal is open access. Articles are refereed and are held to the same standard as articles in other IMS journals. Articles become publicly available shortly after they are accepted.