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Current Challenges in Statistical Seismology

  • Book
  • © 2016

Overview

Editors:
  1. Qinghua Huang

    1. Department of Geophysics, Peking University Department of Geophysics, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

  2. Matthew Gerstenberger

    1. GNS Science, Avalon, New Zealand

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    You can also search for this editor in PubMed   Google Scholar

  3. Jiancang Zhuang

    1. Institute of Statistical Mathematics, Tokyo, Japan

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    You can also search for this editor in PubMed   Google Scholar

  • forefront of statistical seismology
  • developments in statistical integration of diverse geophysical data sets
  • Optimized models that bring together recent hypotheses in statistics and earthquake physics

Part of the book series: Pageoph Topical Volumes (PTV)

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Keywords

  • Earthquake probability forecast
  • point process model
  • information gain
  • seismicity
  • tectonics
  • statistical seismology

About this book

This special issue emerged following the 2013 8th International Statistical Seismology (StatSei8) workshop in Beijing. The articles within have been collected to report on exciting new research in statistical seismology methods and applications; it contains a collection of the newest methods, techniques and results related to statistical analysis of earthquake occurrence and earthquake probability forecasting. The articles within ultimately help to define future research directions in the field. Especially, the rapid development of observation technologies has brought geophysical research into the big-data era. This includes not only non-seismicity geophysical data, such as GPS observation on surface displacement, InSAR observation of the co-seismic deformation, ionospheric observations, etc., but also extended seismological data including slow earthquakes, tremor, and VLF earthquakes.

The subject of statistical seismology bridges the gap between physical and statistical models. Many significant achievements have been accomplished during the last several decades, including formulation of conditional intensity models for quantifying seismicity rates, earthquake probability forecasts, and theories related to rigorous testing of forecast models.

Editors and Affiliations

  • Department of Geophysics, Peking University Department of Geophysics, Beijing, China

    Qinghua Huang

  • GNS Science, Avalon, New Zealand

    Matthew Gerstenberger

  • Institute of Statistical Mathematics, Tokyo, Japan

    Jiancang Zhuang

Bibliographic Information

  • Book Title: Current Challenges in Statistical Seismology

  • Editors: Qinghua Huang, Matthew Gerstenberger, Jiancang Zhuang

  • Series Title: Pageoph Topical Volumes

  • Publisher: Birkhäuser Cham

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Softcover ISBN: 978-3-319-28966-3Published: 04 February 2016

  • Series ISSN: 2504-3625

  • Series E-ISSN: 2504-3633

  • Edition Number: 1

  • Number of Pages: VI, 322

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