Publications

Modelling Populations of Interaction Networks via Distance Metrics

Bolt, G., Lunagomez, S., Nemeth, C.

Distances for Comparing Multisets and Sequences

Bolt, G., Lunagomez, S., Nemeth, C.

SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms

Coullon, J., Nemeth, C.

Sequential Estimation of Temporally Evolving Latent Space Network Models

Turnbull, K., Nemeth, C., Nunes, M., McCormick, T.

Gaussian Process on Hypergraphs

Pinder, T., Turnbull, K., Nemeth, C., Leslie, D.

Semi-Exact Control Functionals From Sard's Method

South, L.F., Karvonen, T., Nemeth, C., Girolami, M., Oates, C.J.

Stochastic Gradient MCMC with Multi-Armed Bandit Tuning

Coullon, J., South, L.F., Nemeth, C.

Robust Bayesian Nonparametric Variable Selection for Linear Regression

Cabezas, A., Battiston, M., Nemeth, C.

A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK

Pinder, T., Hollaway, M., Nemeth, C., Young, P., Leslie, D.

GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language

Fairbrother, J., Nemeth, C., Rischard, M., Brea, J., Pinder, T.

Stochastic gradient Markov chain Monte Carlo

Nemeth, C., Fearnhead, P.

Stein Variational Gaussian Processes

Pinder, T., Nemeth, C., Leslie, D.

Preprint Code

Bayesian calibration of firn densification models

Verjans,V., Leeson, A.A., Nemeth, C., Stevens, C.M., Kuipers Munneke, P., Noël, B., van Wessem, J.M.

sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte Carlo

Baker, J., Fearnhead, P., Fox, E.B., Nemeth, C.

Pseudo-extended Makov chain Monte Carlo

Nemeth, C., Lindsten, F., Filippone, M., Hensman, J.

Latent Space Representations of Hypergraphs

Turnbull, K., Lunagómez, S., Nemeth, C., Airoldi, E.

Stochastic Gradient MCMC for Nonlinear State Space Models

Aicher, C., Putcha, S., Nemeth, C., Fearnhead, P., Fox, E.B.

Preprint Code

Control Variates for Stochastic Gradient MCMC

Baker, J., Fearnhead, P., Fox, E.B., Nemeth, C.

Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost

Large-Scale Stochastic Sampling from the Probability Simplex

Baker, J., Fearnhead, P., Fox, E.B., Nemeth, C.

Preprint PDF Code Poster

Merging MCMC Subposteriors through Gaussian-Process Approximations

Nemeth, C., Sherlock, C.

Preprint PDF

Nemeth, C., Fearnhead, P., Mihaylova, L.

Parameter Estimation for State Space Models using Sequential Monte Carlo Algorithms

Particle Metropolis-adjusted Langevin algorithm

Nemeth, C., Sherlock, C., Fearnhead, P.

Preprint PDF

Nemeth, C.

Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments

Nemeth, C., Fearnhead, P., Mihaylova, L.

PDF Code

Bearings-only tracking with particle filtering for joint parameter learning and state estimation

Nemeth, C., Fearnhead, P., Mihaylova, L.

Particle learning methods for state and parameter estimation

Nemeth, C., Fearnhead, P., Mihaylova, L.