Extremes View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1998

PUBLISHER

Springer US

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/10687

Recent publications latest 20 shown

  • 2021-10-09 Extremes of censored and uncensored lifetimes in survival data
  • 2021-09-22 Pandemic-type failures in multivariate Brownian risk models
  • 2021-09-20 Choquet random sup-measures with aggregations
  • 2021-09-20 Branching processes with immigration in atypical random environment
  • 2021-09-11 Extremes of subexponential Lévy-driven random fields in the Gumbel domain of attraction
  • 2021-06-05 The tail process and tail measure of continuous time regularly varying stochastic processes
  • 2021-06-01 Truncated pair-wise likelihood for the Brown-Resnick process with applications to maximum temperature data
  • 2021-05-20 Functional strong laws of large numbers for Euler characteristic processes of extreme sample clouds
  • 2021-05-20 On ruin probabilities with risky investments in a stock with stochastic volatility
  • 2021-05-12 Extremal clustering in non-stationary random sequences
  • 2021-05-07 Extreme value theory for spatial random fields – with application to a Lévy-driven field
  • 2021-05-06 Conditional marginal expected shortfall
  • 2021-05-05 New characterizations of multivariate Max-domain of attraction and D-Norms
  • 2021-04-16 Threshold selection in univariate extreme value analysis
  • 2021-04-09 Editorial to the special issue: Statistical modeling of environmental extremes
  • 2021-03-23 Randomly stopped extreme Zipf extensions
  • 2021-03-19 Conditional normal extreme-value copulas
  • 2021-03-17 Correction to: Estimation and uncertainty quantification for extreme quantile regions
  • 2021-02-26 Critical branching processes in random environment with immigration: survival of a single family
  • 2021-02-23 Inference on extremal dependence in the domain of attraction of a structured Hüsler–Reiss distribution motivated by a Markov tree with latent variables
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    Editor-in-Chief:

    Thomas Mikosch, University of Copenhagen

    Extremes publishes original research on all aspects of statistical extreme value theory and its applications in science, engineering, economics, and other fields. It also presents authoritative reviews and case studies of theoretical advances and of extreme value methods and problems in important applied areas.

    Previously scattered across more general probability journals, statistical extremes research now has a home with this journal. As a result, Extremes advances and accelerates research and applications by providing a unified forum for the best papers in the field. Applied scientists find comprehensive and up-to-date coverage of theoretical developments and specialists find authoritative discussions of urgent applied problems. Finally authors find the best medium for the dissemination and use of their results.

    Peer review is conducted using Editorial Manager\u00ae, supported by a database of international experts. This database is shared with the journal, Statistical Inference for Stochastic Processes.

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