Skip to main content

Bayesian Statistics: Applications to Earthquake Engineering

  • Living reference work entry
  • First Online:
Encyclopedia of Earthquake Engineering
  • 985 Accesses

Synonyms

Bayesian statistics; Earthquake probabilities; Fragility analysis; Ground motion simulation; Seismic activity matrix; Seismic hazard; Seismological model

Introduction

Bayesian statistics are related to Bayes’ rule after Thomas Bayes, a Presbyterian minister, probably born in 1701. Thomas Bayes’ fame rests in his paper “An Essay Towards Solving a Problem in the Doctrine of Chances” communicated to the Royal Society in 1763, after his death in 1761, by his friend Richard Price (1723–1791) (Bellhouse 2004). Bayes addresses the following question in his essay: “Given the number of times in which an unknown event has happened and failed: Required the chance that the probability of its happening in a single trial lies somewhere between any two degrees of probability that can be named (Bayes (1763), p. 376)” (Dale 1986; Edwards 1978). The question is answered in its famous Bayes’ model table problem (Bellhouse 2004).

Gillies (1987) calls this problem “Bayes’ billiard table example.”...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  • Atkinson G, Boore D (2011) Modification to existing ground-motion prediction equations in light of new data. Bull Seismol Soc Am 101(3):1121–1135

    Article  Google Scholar 

  • Bayes T (1763) An essay towards solving a problem in the doctrine of chances. Philosophical Transactions 53, p. 370-418. [Reprinted (1958) Studies in the history of probability and statistics IX. Thomas Bayes’ essay towards solving a problem in the doctrine of chances. Biometrika 45, p. 296-315]

    Google Scholar 

  • Bellhouse D (2004) The reverend Thomas Bayes, FRS: a biography to celebrate the tercentenary of his birth. Stat Sci 19(1):3–43

    Article  MATH  MathSciNet  Google Scholar 

  • Dale A (1986) A newly-discovered result of Thomas Bayes. Arch Hist Exact Sci 35(2):101–113

    Article  MATH  MathSciNet  Google Scholar 

  • Edwards A (1978) Commentary on the arguments of Thomas Bayes. Scand J Stat 5(2):116–118

    MATH  Google Scholar 

  • Esteva L (1969) Seismicity prediction: a Bayesian approach. In: Proceedings of the fourth world conference on earthquake engineering, Santiago de Chile

    Google Scholar 

  • Gelman A, Carlin JB, Stern HS, Rubin DB (2003) Bayesian data analysis, 2nd edn, Texts in statistical sciences. Chapman Hall CRC, Boca Raton

    Google Scholar 

  • Gillies D (1987) Was Bayes a Bayesian? Hist Math 14:325–346

    Article  MATH  MathSciNet  Google Scholar 

  • Goodman J (1986) Interval estimates of average failure rate and unavailability per demand. Reliab Eng 14:107–121

    Article  Google Scholar 

  • Grigoriu M (2012) Stochastic systems. Uncertainty quantification and propagation. Springer, London

    MATH  Google Scholar 

  • Halldorsson B, Papageorgiou A (2005) Calibration of the specific barier model to earthquake to different tectonic regions. Bull Seismol Soc Am 95(4):1276–1300

    Article  Google Scholar 

  • Kafali C, Grigoriu M (2010) Seismic fragility analysis: application to simple linear and nonlinear systems. Earthq Eng Struct Dyn 36(13):1885–1900

    Article  Google Scholar 

  • Koutsourelakis P (2010) Assessing structural vulnerability against earthquakes using multi-dimensional fragility surfaces: a Bayesian framework. Probab Eng Mech 25:49–60

    Article  Google Scholar 

  • Mosleh A, Apostolakis G (1986) The assessment of probability distributions from expert opinions with an application to seismic fragility curves. Risk Anal 6(4):447–461

    Article  Google Scholar 

  • Radu A, Grigoriu M (2014) A site-specific seismological model for probabilistic seismic-hazard assessment. Bull Seismol Soc Am 104(6):3054–3071

    Google Scholar 

  • Rezaeian S, Kiureghian A (2010) Simulation of synthetic ground motions for specified earthquake and site characteristics. Earthq Eng Struct Dyn 39(10):1155–1180

    Google Scholar 

  • Straub D, Kiureghian A (2008) Improved seismic fragility modeling from empirical data. Struct Saf 30:320–336

    Article  Google Scholar 

  • Suzuki S, Kiremidjian A (1991) A random slip rate model for earthquake occurrences with Bayesian parameters. Bull Seismol Soc Am 81(3):781–795

    Google Scholar 

  • Trifunac MD (1971) A method for synthesizing realistic strong ground motions. Bull Seismol Soc Am 61(6):1739–1753

    Google Scholar 

  • USGS (2009) U.S. geological survey: 2009 earthquake probability mapping. Last checked on 9 Sept 2013. https://geohazards.usgs.gov/eqprob/2009/index.php

  • Wang M, Takada T (2009) A Bayesian framework for prediction of seismic ground motion. Bull Seismol Soc Am 99(4):2348–2364

    Article  Google Scholar 

  • Zerva A (2009) Spatial variation of seismic ground motions: modeling and engineering applications. In: Advances in engineering. CRC Press – Taylor Francis Group, LLC, 6000 Broken Sound Parkway, Boca Raton, FL

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alin C. Radu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this entry

Cite this entry

Radu, A.C., Grigoriu, M. (2014). Bayesian Statistics: Applications to Earthquake Engineering. In: Beer, M., Kougioumtzoglou, I., Patelli, E., Au, IK. (eds) Encyclopedia of Earthquake Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36197-5_278-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-36197-5_278-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Online ISBN: 978-3-642-36197-5

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

Publish with us

Policies and ethics