Stochastic modelling of urban structure

DOI10.1098/rspa.2017.0700zbMath1402.91596arXiv1805.03567OpenAlexW3098260503WikidataQ55226109 ScholiaQ55226109MaRDI QIDQ4557688

Louis Ellam, Mark A. Girolami, Alan G. Wilson, Grigorios A. Pavliotis

Publication date: 26 November 2018

Published in: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1805.03567

zbMATH Keywords

complexityMarkov chain Monte CarloBayesian statisticsBayesian inferenceurban structureurban modelling

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Bayesian inference (62F15) Applications of stochastic analysis (to PDEs, etc.) (60H30) Models of societies, social and urban evolution (91D10)

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Uses Software

• BayesDA

Cites Work

• The pseudo-marginal approach for efficient Monte Carlo computations
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• Monte Carlo strategies in scientific computing.
• Handbook of Markov Chain Monte Carlo
• Saddlepoint Approximations with Applications
• Applied Welfare Economics with Discrete Choice Models
• Exact estimation for Markov chain equilibrium expectations
• A general method for debiasing a Monte Carlo estimator
• Data assimilation: Mathematical and statistical perspectives
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