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Statistical Theory and Applications in Science, Engineering and Economics

Editor-in-Chief: Thomas Mikosch

ISSN: 1386-1999 (print version)
ISSN: 1572-915X (electronic version)

Journal no. 10687

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Call for Papers for Special Issue on Statistical modeling of environmental extremes

Guest Editors: Dr. Dan Cooley, Colorado State University, USA(cooleyd@stat.colostate.edu)

Dr. Philippe Naveau, Laboratoire des Sciences du Climat et de

l’Environnement, France (Philippe.Naveau@lsce.ipsl.fr)

Research in environmental statistics (hydrology, climate, etc) has been a fertile area for the
application of the statistical theory of extreme values for many decades. In fact, several original
developments in the theory were motivated by problems in environmental science or closely
related fields. Currently, there is renewed interest in applications of extreme value theory to
multivariate, temporal, spatial or both, environmental datasets. Moreover, a number of recent
developments in extremal methods have not yet been fully exploited in such applications (e.g.,
incorporation of covariates).
The journal Extremes (https://link.springer.com/journal/10687) plans to publish a special issue
devoted to the topic of the “Statistical modeling of environmental extremes.” Original
unpublished manuscripts are solicited. Topics of interest related to environmental statistics, but
are not limited to:
o Estimating risk measures and return levels under non-stationarity
o Incorporation of geophysically-based covariates in extremal modeling
o Multivariate extremes (e.g. dimension reduction or/and clustering)
o Change of scales (e.g., downscaling) extremes, Detection and Attribution
o Spatio-temporal fields of extremes
o Dynamical extremes
o Forecast of extremes and their assessments (e.g. from machine learning approaches)
All manuscripts should include a substantive application to environmental statistics or a closely
related area.
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under
consideration for publication elsewhere. All papers will be refereed through the regular peer
review process for Extremes, see http://www.editorialmanager.com/extr/default.aspx
Please notify the Guest Editors by email of your intention to submit a manuscript, providing at least a tentative title.
Intent to submit manuscript: 15th of February 2019
Manuscript submission: 15th of June 2019
Our publication target date for accepted papers is the end of
the year 2019

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  • Journal Citation Reports®
    2018 Impact Factor
  • 1.778
  • Aims and Scope

    Aims and Scope


    Extremes publishes original research on all aspects of statistical extreme value theory and its applications in science, engineering, economics and other fields. Authoritative and timely reviews of theoretical advances and of extreme value methods and problems in important applied areas, including detailed case studies, are welcome and will be a regular feature. All papers are refereed. Publication will be swift: in particular electronic submission and correspondence is encouraged.

    Statistical extreme value methods encompass a very wide range of problems: Extreme waves, rainfall, and floods are of basic importance in oceanography and hydrology, as are high windspeeds and extreme temperatures in meteorology and catastrophic claims in insurance. The waveforms and extremes of random loads determine lifelengths in structural safety, corrosion and metal fatigue. High concentrations of pollutants constitute health hazards. Large fluctuations in asset, share and bond prices and in exchange and interest rates have serious consequences for the economy. Much of risk and reliability theory is concerned with extreme occurrences. Methods and problems in tail estimation, statistical process control, sequential analysis, and heavy-tailed models for time series are closely related to extreme value theory. Numerical methods, optimization, simulation, and resampling are of interest for statistical extremes.

    Publication of research on statistical extremes is very scattered: e.g. in probability journals like the Annals of Probability or the Applied Probability journals, in statistical journals such as the Annals of Statistics, the Journals of the Royal Statistical Society or Technometrics, and in journals in hydrology, oceanography, meteorology, reliability, civil engineering, economics, finance and physics. The fragmented publication leads to long delays before theoretical advances find their way into practical application. Similarly, important applied problems are slow to gain attention by theoreticians.

    The aim of Extremes is to advance and speed up research and applications by providing a unified forum for the best papers on statistical extremes. In Extremes applied scientists will find comprehensive and up-to-date coverage of theoretical developments, specialists will find authoritative discussions of urgent applied problems, and authors will find the best medium for the dissemination and use of their results.
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