E-LIB Suche - Ergebnisse für: Briol, François-Xavier

1

Generalized Bayesian Inference for Discrete Intractable Lik..:

Matsubara, Takuo ; Knoblauch, Jeremias ; Briol, François-Xavier.
Journal of the American Statistical Association. , 2023

Link: https://doi.org/10.1080/..

2

Robust Generalised Bayesian Inference for Intractable Likel..:

Matsubara, Takuo ; Knoblauch, Jeremias ; Briol, François-Xavier.
Journal of the Royal Statistical Society Series B: Statistical Methodology. 84 (2022) 3 - p. 997-1022 , 2022

Link: https://doi.org/10.1111/..

3

A General Method for Calibrating Stochastic Radio Channel M..:

Bharti, Ayush ; Briol, Francois-Xavier ; Pedersen, Troels
IEEE Transactions on Antennas and Propagation. 70 (2022) 6 - p. 3986-4001 , 2022

Link: https://doi.org/10.1109/..

4

Scalable Control Variates for Monte Carlo Methods Via Stoch..:

, In: Springer Proceedings in Mathematics & Statistics; Monte Carlo and Quasi-Monte Carlo Methods,

Si, Shijing ; Oates, Chris. J. ; Duncan, Andrew B... - p. 205-221 , 2022

Link: https://doi.org/10.1007/..

5

Joint Modeling of Received Power, Mean Delay, and Delay Spr..:

Bharti, Ayush ; Adeogun, Ramoni ; Cai, Xuesong...
IEEE Transactions on Antennas and Propagation. 69 (2021) 8 - p. 4871-4882 , 2021

Link: https://doi.org/10.1109/..

6

Rejoinder: Probabilistic Integration: A Role in Statistical..:

Briol, François-Xavier ; Oates, Chris J. ; Girolami, Mark..
Statistical Science. 34 (2019) 1 - p. 38-42 , 2019

Link: https://www.jstor.org/st..

7

Probabilistic Integration: A Role in Statistical Computatio..:

Briol, François-Xavier ; Oates, Chris J. ; Girolami, Mark..
Statistical Science. 34 (2019) 1 - p. 1-22 , 2019

Link: https://www.jstor.org/st..

8

Bayesian Numerical Methods as a Case Study for Statistical ..:

, In: Statistical Data Science,

Briol, François-Xavier ; Girolami, Mark - p. 99-110 , 2018

Link: https://doi.org/10.1142/..

9

Robust and Conjugate Gaussian Process Regression:

Altamirano, Matias ; Briol, François-Xavier ; Knoblauch, Jeremias
http://arxiv.org/abs/2311.00463. , 2023

Link: http://arxiv.org/abs/231..

10

Multilevel Bayesian quadrature:

Li, Kaiyu ; Giles, Daniel ; Karvonen, Toni..
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics. , 2023

Link: http://hdl.handle.net/10..

11

Bayesian Numerical Integration with Neural Networks:

Ott, Katharina ; Tiemann, Michael ; Hennig, Philipp.
http://arxiv.org/abs/2305.13248. , 2023

Link: http://arxiv.org/abs/230..

12

Stein's Method Meets Computational Statistics: A Review of ..:

Anastasiou, Andreas ; Barp, Alessandro ; Briol, François-Xavier...
info:eu-repo/semantics/altIdentifier/wos/000991879600008. , 2023

Link: https://publikationen.bi..

13

Data-driven modelling of turbine wake interactions and flow..:

Kirby, Andrew ; Briol, François-Xavier ; Dunstan, Thomas D.
http://arxiv.org/abs/2301.01699. , 2023

Link: http://arxiv.org/abs/230..

14

Meta-learning Control Variates: Variance Reduction with Lim..:

Sun, Zhuo ; Oates, Chris J ; Briol, François-Xavier
http://arxiv.org/abs/2303.04756. , 2023

Link: http://arxiv.org/abs/230..

15

Stein's method meets computational statistics: A review of ..:

Anastasiou, Andreas ; Barp, Alessandro ; Briol, François-Xavier...
https://discovery.ucl.ac.uk/id/eprint/10158259/1/2105.03481v2.pdf. , 2023

Link: https://discovery.ucl.ac..