Christopher Nemeth
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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
Control variates for stochastic gradient MCMC
J Baker, P Fearnhead, EB Fox, C Nemeth
Statistics and Computing 29 (3), 599-615, 2019
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
Merging MCMC subposteriors through Gaussian-process approximations
C Nemeth, C Sherlock
Bayesian Analysis 13 (2), 507-530, 2018
Particle Metropolis-adjusted Langevin algorithms
C Nemeth, C Sherlock, P Fearnhead
Biometrika 103 (3), 701-717, 2016
Stochastic Gradient Markov Chain Monte Carlo
C Nemeth, P Fearnhead
Journal of the American Statistical Association, 1-18, 2020
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
Pseudo-extended Markov chain Monte Carlo
C Nemeth, F Lindsten, M Filippone, J Hensman
Advances in Neural Information Processing Systems 32, 2019
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
Semi-Exact Control Functionals From Sard's Method
LF South, T Karvonen, C Nemeth, M Girolami, C Oates
arXiv preprint arXiv:2002.00033, 2020
GaussianProcesses. jl: a Nonparametric Bayes package for the Julia Language
J Fairbrother, C Nemeth, M Rischard, J Brea, T Pinder
arXiv preprint arXiv:1812.09064, 2018
Bayesian calibration of firn densification models
V Verjans, AA Leeson, C Nemeth, CM Stevens, P Kuipers Munneke, ...
The Cryosphere 14 (9), 3017-3032, 2020
Stochastic gradient mcmc for nonlinear state space models
C Aicher, S Putcha, C Nemeth, P Fearnhead, EB Fox
arXiv preprint arXiv:1901.10568, 2019
Latent Space Modelling of Hypergraph Data
K Turnbull, S Lunagůmez, C Nemeth, E Airoldi
arXiv preprint arXiv:1909.00472, 2019
Stein Variational Gaussian Processes
T Pinder, C Nemeth, D Leslie
arXiv preprint arXiv:2009.12141, 2020
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
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
Parameter estimation for state space models using sequential Monte Carlo algorithms
CJ Nemeth
PQDT-UK & Ireland, 2014
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
Parameter estimation with Particle Filtering Algorithms
E Zanini, C Nemeth, HMM HMMs
STOR-i Internship 2012, Lancaster University, 2012
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