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Mark A. Girolami

University of Glasgow
University of the West of Scotland
University College London

268

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13876

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Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents.

2022 CoRR
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Optimality Criteria for Probabilistic Numerical Methods

2019 arXiv: Methodology
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A Bayesian Conjugate Gradient Method (with discussion and rejoinder)

2019 Bayesian Analysis
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Hamiltonian Monte Carlo on Symmetric and Homogeneous Spaces via Symplectic Reduction.

2019 arXiv: Computation
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Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment

2019 Journal of the American Statistical Association
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Statistical methods to enable practical on-site tomographic imaging of whole-core samples

2019 Geophysics
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Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success

2019 Geoscientific Model Development Discussions
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Rejoinder: Probabilistic Integration: A Role in Statistical Computation?

2019 Statistical Science
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Convergence rates for a class of estimators based on Stein’s method

2019 Bernoulli
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Probabilistic Integration: A Role in Statistical Computation?

2019 Statistical Science
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Citations (54)