1984
DOI: 10.4294/jpe1952.32.469
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Bayesian estimation of hypocenter with origin time eliminated.

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Cited by 28 publications
(9 citation statements)
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“…We used an algorithm of hypocentre determination developed by Matsu'ura (1984) and Hirata & Marsu'ura (1987). From a Bayesian point of view, a probability density function (pdf) for hypocentral parameters (a hypocentre and an origin time) of an earthquake is expressed as a product of a likelihood function of observed arrival time data and a pdf for a prior estimate (an initial guess) of the hypocentre.…”
Section: Methodsmentioning
confidence: 99%
“…We used an algorithm of hypocentre determination developed by Matsu'ura (1984) and Hirata & Marsu'ura (1987). From a Bayesian point of view, a probability density function (pdf) for hypocentral parameters (a hypocentre and an origin time) of an earthquake is expressed as a product of a likelihood function of observed arrival time data and a pdf for a prior estimate (an initial guess) of the hypocentre.…”
Section: Methodsmentioning
confidence: 99%
“…The idea of using the differential-time form of the misfit function is by no means new and can be traced back in time to Zhou (1994) and Matsu'ura (1984). In various forms it has already been implemented in different optimizationbased location algorithms under various names, among which the equal difference time (EDT) is the most popular (see, e.g., Font et al 2004, Lomax et al 2009, Zhou 1994.…”
Section: Trmloc Algorithmmentioning
confidence: 99%
“…The origin times to are eliminated because of the high correlation between origin time and focal depth. This is done by introducing the marginal distribution as proposed by Tarantola & Valette (1982) and Matsu'ura (1984):…”
Section: T Tmentioning
confidence: 99%
“…The origin time has been eliminated by integration of the posterior likelihood function over the whole range of origin times (cf. Tarantola & Valette 1982;Matsu'ura 1984), which leads to a marginal likelihood function for the spatial param-eters of a seismic event only. The technique of partitioned matrices (Kijko 1988, personal communication) is used to implement the theory on computer.…”
Section: Introductionmentioning
confidence: 99%