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Christopher Nemeth
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Control variates for stochastic gradient MCMC
J Baker, P Fearnhead, EB Fox, C Nemeth
Statistics and Computing 29 (3), 599-615, 2019
892019
Sequential Monte Carlo methods for state and parameter estimation in abruptly changing environments
C Nemeth, P Fearnhead, L Mihaylova
IEEE Transactions on Signal Processing 62 (5), 1245-1255, 2014
892014
Stochastic Gradient Markov Chain Monte Carlo
C Nemeth, P Fearnhead
Journal of the American Statistical Association 116 (533), 433-450, 2021
652021
Particle approximations of the score and observed information matrix for parameter estimation in state–space models with linear computational cost
C Nemeth, P Fearnhead, L Mihaylova
Journal of Computational and Graphical Statistics 25 (4), 1138-1157, 2016
472016
Merging MCMC subposteriors through Gaussian-process approximations
C Nemeth, C Sherlock
Bayesian Analysis 13 (2), 507-530, 2018
422018
Particle Metropolis-adjusted Langevin algorithms
C Nemeth, C Sherlock, P Fearnhead
Biometrika 103 (3), 701-717, 2016
35*2016
GaussianProcesses. jl: A nonparametric Bayes package for the Julia language
J Fairbrother, C Nemeth, M Rischard, J Brea, T Pinder
Journal of Statistical Software 102, 1-36, 2022
21*2022
Bayesian calibration of firn densification models
V Verjans, AA Leeson, C Nemeth, CM Stevens, P Kuipers Munneke, ...
The Cryosphere 14 (9), 3017-3032, 2020
152020
Particle learning methods for state and parameter estimation
C Nemeth, P Fearnhead, L Mihaylova, D Vorley
9th IET Data Fusion and Target Tracking Conference, London, U.K., 2012
152012
Semi-exact control functionals from Sard’s method
LF South, T Karvonen, C Nemeth, M Girolami, CJ Oates
Biometrika 109 (2), 351-367, 2022
142022
Pseudo-extended Markov chain Monte Carlo
C Nemeth, F Lindsten, M Filippone, J Hensman
Advances in Neural Information Processing Systems 32, 2019
142019
sgmcmc: An R package for stochastic gradient Markov chain Monte Carlo
J Baker, P Fearnhead, EB Fox, C Nemeth
Journal of Statistical Software 91 (1), 1-27, 2019
122019
Stochastic gradient mcmc for nonlinear state space models
C Aicher, S Putcha, C Nemeth, P Fearnhead, EB Fox
arXiv preprint arXiv:1901.10568, 2019
102019
Latent Space Modelling of Hypergraph Data
K Turnbull, S Lunagůmez, C Nemeth, E Airoldi
arXiv preprint arXiv:1909.00472, 2019
7*2019
Stein variational Gaussian processes
T Pinder, C Nemeth, D Leslie
arXiv preprint arXiv:2009.12141, 2020
52020
Large-Scale Stochastic Sampling from the Probability Simplex
J Baker, P Fearnhead, EB Fox, C Nemeth
Advances in Neural Information Processing Systems 31, 6720-6730, 2018
52018
Bearings-only tracking with particle filtering for joint parameter learning and state estimation
C Nemeth, P Fearnhead, L Mihaylova, D Vorley
2012 15th International Conference on Information Fusion, 824-831, 2012
52012
Parameter estimation for state space models using sequential Monte Carlo algorithms
CJ Nemeth
PQDT-UK & Ireland, 2014
42014
Gaussian Processes on Hypergraphs
T Pinder, K Turnbull, C Nemeth, D Leslie
arXiv preprint arXiv:2106.01982, 2021
32021
Discussion of" Unbiased Markov chain Monte Carlo with couplings" by Pierre E. Jacob, John O'Leary and Yves F. Atchad\'e
LF South, C Nemeth, CJ Oates
arXiv preprint arXiv:1912.10496, 2019
22019
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