@inproceedings{65302ac494ae4325b52b2656f30b44af,
title = "A Bayesian approach to estimate the probability distribution of earthquake size of a given active fault",
abstract = "Different from conventional methods, the Bayesian approach is a unique algorithm to develop an estimate considering both the prior information and limited samples. Implicitly, the Bayesian calculation is usually employed on a condition that the observation data are too limited to develop a reliable estimate. This paper presents a Bayesian application to earthquake engineering to estimate the size of recurring earthquakes induced by the Meishan fault in centralTaiwan.With the prior information including best-estimate rupture width, rupture area, and two empirical models, and with one only earthquake observation in year 1906, the Bayesian calculation suggests that the size of recurring Meishan earthquake should be in Mw 6.48±0.21.",
author = "Wang, {J. P.}",
year = "2015",
doi = "10.1201/b17435-150",
language = "???core.languages.en_GB???",
isbn = "9781138001480",
series = "Computer Methods and Recent Advances in Geomechanics - Proceedings of the 14th Int. Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014",
publisher = "Taylor and Francis - Balkema",
pages = "869--874",
booktitle = "Computer Methods and Recent Advances in Geomechanics - Proc. of the 14th International Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014",
note = "null ; Conference date: 22-09-2014 Through 25-09-2014",
}