Publications | Christopher Nemeth

Sequential Estimation of Temporally Evolving Latent Space Network Models

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

Preprint

Gaussian Process on Hypergraphs

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

Preprint

Semi-Exact Control Functionals From Sard's Method

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

Preprint

Stochastic Gradient MCMC with Multi-Armed Bandit Tuning

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

Preprint

Robust Bayesian Nonparametric Variable Selection for Linear Regression

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

Preprint

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

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

Preprint

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

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

Preprint

Stochastic gradient Markov chain Monte Carlo

Nemeth, C., Fearnhead, P.

Preprint PDF Code

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.

PDF

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

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

Preprint PDF Code

Pseudo-extended Makov chain Monte Carlo

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

Preprint PDF Code

Latent Space Representations of Hypergraphs

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

Preprint

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.

Preprint PDF Code

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

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

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

Preprint PDF Code

Particle Metropolis-adjusted Langevin algorithm

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

Preprint PDF

Parameter Estimation for State Space Models using Sequential Monte Carlo Algorithms

Nemeth, C.

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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.

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Particle learning methods for state and parameter estimation

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

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