Explicit solutions for a probabilistic moraine preservation model
Abstract If a series of glacial advances occurs over the same pathway, the moraines that are now present may constitute an incomplete record of the total history. This is because a given advance can destroy the moraine left by a previous one, if the previous advance was less extensive. Gibbons, Mege...
| Published in: | Journal of Glaciology |
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| Main Author: | |
| Format: | Article in Journal/Newspaper |
| Language: | English |
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Cambridge University Press (CUP)
2016
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1017/jog.2016.109 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S002214301600109X |
| Summary: | Abstract If a series of glacial advances occurs over the same pathway, the moraines that are now present may constitute an incomplete record of the total history. This is because a given advance can destroy the moraine left by a previous one, if the previous advance was less extensive. Gibbons, Megeath and Pierce (GMP) formulated an elegant stochastic model for this process; the key quantity in their analysis is $\bi P(n\vert N)$ , the probability that n moraines are preserved after N glacial advances. In their paper, GMP derive a recursion formula satisfied by $\bi P(n\vert N)$ , and use this formula to compute values of P for a range of values of n and N . In the present paper, we derive an explicit general answer for $\bi P(n\vert N)$ , and show explicit, exact results for the mean value and standard deviation of n . We use these results to develop more insight into the consequences of the GMP model; for example, to a good approximation, 〈 n 〉 increases as ln( N ). We explain how a Bayesian approach can be used to analyze $\bi P(N\vert n)$ , the probability that there were N advances, given that we now observe n moraines. |
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