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34 results on '"Girolami, Mark"'

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1. Riemannian Laplace Approximation with the Fisher Metric

2. Table inference for combinatorial origin-destination choices in agent-based population synthesis

3. Lagrangian Manifold Monte Carlo on Monge Patches

4. Low-rank statistical finite elements for scalable model-data synthesis

5. Semi-Exact Control Functionals From Sard's Method

6. Minimum Stein Discrepancy Estimators

7. Statistical Inference for Generative Models with Maximum Mean Discrepancy

8. The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions

9. Stein Point Markov Chain Monte Carlo

10. Optimality Criteria for Probabilistic Numerical Methods

11. A Bayesian Conjugate Gradient Method

12. Posterior Integration on a Riemannian Manifold

13. Bayesian Probabilistic Numerical Methods

14. Probabilistic Numerical Methods for PDE-constrained Bayesian Inverse Problems

15. Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models

16. Probabilistic Numerical Methods for Partial Differential Equations and Bayesian Inverse Problems

17. Unbiased local solutions of partial differential equations via the Feynman-Kac Identities

18. On the Geometric Ergodicity of Hamiltonian Monte Carlo

19. Probability Measures for Numerical Solutions of Differential Equations

20. Unbiased Bayes for Big Data: Paths of Partial Posteriors

21. Optimizing The Integrator Step Size for Hamiltonian Monte Carlo

22. The Geometric Foundations of Hamiltonian Monte Carlo

23. Control functionals for Monte Carlo integration

24. Contribution by M. A. Girolami

25. The Controlled Thermodynamic Integral for Bayesian Model Comparison

26. Information-geometric Markov Chain Monte Carlo methods using Diffusions

27. Hamiltonian Monte Carlo for Hierarchical Models

28. Pseudo-Marginal Bayesian Inference for Gaussian Processes

29. Langevin diffusions and the Metropolis-adjusted Langevin algorithm

30. On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods

31. Bayesian Solution Uncertainty Quantification for Differential Equations

32. MCMC inference for Markov Jump Processes via the Linear Noise Approximation

33. A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices

34. Some discussions of D. Fearnhead and D. Prangle's Read Paper 'Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation'

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