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个人简介
Research Interests
Bayesian inference
Statistical methods
Computational statistics
Monte Carlo, statistical senetics
Applied statistics
Geoff is working on Monte-Carlo based Bayesian statistical inference for problems with computationally demanding prior and likelihood evaluations. Practical computational methods for making Bayesian model comparison for complex stochastic systems are needed. Research is driven by problems from a range of application areas, including Geoscience, Linguistics, Genetics and Archaeology.
Bayesian inference
Statistical methods
Computational statistics
Monte Carlo, statistical senetics
Applied statistics
Geoff is working on Monte-Carlo based Bayesian statistical inference for problems with computationally demanding prior and likelihood evaluations. Practical computational methods for making Bayesian model comparison for complex stochastic systems are needed. Research is driven by problems from a range of application areas, including Geoscience, Linguistics, Genetics and Archaeology.
研究兴趣
论文共 71 篇作者统计合作学者相似作者
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UAIpp.995-1004, (2023)
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arXiv (Cornell University) (2023)
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arxiv(2022)
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Schyan Zafar,Geoff Nicholls
arxiv(2021)
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