Multivariate sensitivity analysis for a large-scale climate impact and adaptation model
Journal of the Royal Statistical Society: Series C
Efficient and generalizable tuning strategies for stochastic gradient MCMC
Statistics and Computing
Sequential Estimation of Temporally Evolving Latent Space Network Models
Computational Statistics and Data Analysis
Modelling Populations of Interaction Networks via Distance Metrics
arXiv preprint
Distances for Comparing Multisets and Sequences
arXiv preprint
Semi-exact control functionals from Sard’s method
Biometrika
GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language
Journal of Statistical Software
SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms
Journal of Open Source Software
Gaussian processes on hypergraphs
arXiv preprint
A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK
arXiv preprint
Stochastic Gradient Markov Chain Monte Carlo
Journal of the American Statistical Association
Stein variational Gaussian processes
arXiv preprint
Bayesian calibration of firn densification models
The Cryosphere
Pseudo-extended Markov chain Monte Carlo
Neural Information Processing Systems (NeurIPS)
sgmcmc: An R package for stochastic gradient Markov chain Monte Carlo
Journal of Statistical Software
Control variates for stochastic gradient MCMC
Statistics and Computing
Large-Scale Stochastic Sampling from the Probability Simplex
Neural Information Processing Systems (NeurIPS)
Merging MCMC Subposteriors through Gaussian-Process Approximations
Bayesian Analysis
Particle approximations of the score and observed information matrix for parameter estimation in state–space models with linear computational cost
Journal of Computational and Graphical Statistics
Particle Metropolis-adjusted Langevin algorithms
Biometrika