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Stochastic geometry, spatial statistics and random fields : asymptotic methods

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目次 1. Foundations of stochastic geometry and theory of random sets
Ilya Molchanov
2. Introduction into integral geometry and stereology
Markus Kiderlen
3. Spatial point patterns : models and statistics
Adrian Baddeley
4. Asymptotic methods in statistics of random point processes
Lothar Heinrich
5. Random tessellations and Cox processes
Florian Voss, Catherine Gloaguen and Volker Schmidt
6. Asymptotic methods for random tessellations
Pierre Calka
7. Random polytopes
Daniel Hug
8. Limit theorems in discrete stochastic geometry
Joseph Yukich
9. Introduction to random fields
Alexander Bulinski and Evgeny Spodarev
10. Central limit theorems for weakly dependent random fields
Alexander Bulinski and Evgeny Spodarev
11. Strong limit theorems for increments of random fields
Ulrich Stadtmüller
12. Geometry of large random trees: SPDE approximation
Yuri Bakhtin.
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本文を見る Full text available from Springer Lecture Notes in Mathematics eBooks
Full text available from Springer Mathematics and Statistics eBooks 2013 English/International

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登録日 2020.06.27
更新日 2020.06.28