Decision support in early development phases - A case study from machine engineering. - Axel Gandy; Patrick Jäger; Bernd Bertsche; Uwe Jensen (Reliab. Eng. Syst. Saf., 2007)

Fast computation of high-dimensional multivariate normal probabilities. - Ioannis Phinikettos; Axel Gandy (Comput. Stat. Data Anal., 2011)

Special Issue on Astrostatistics. - Axel Gandy; Roberto Trotta (Stat. Anal. Data Min., 2013)

CASOS: a subspace method for anomaly detection in high dimensional astronomical databases. - Marc Y. R. Henrion; David J. Hand; Axel Gandy; Daniel J. Mortlock (Stat. Anal. Data Min., 2013)

RMCMC: A system for updating Bayesian models. - F. Din-Houn Lau; Axel Gandy (Comput. Stat. Data Anal., 2014)

The Chopthin Algorithm for Resampling. - Axel Gandy; F. Din-Houn Lau (IEEE Trans. Signal Process., 2016)

A Bayesian Methodology for Systemic Risk Assessment in Financial Networks. - Axel Gandy; Luitgard A. M. Veraart (Manag. Sci., 2017)

spcadjust: An R Package for Adjusting for Estimation Error in Control Charts. - Axel Gandy; Jan Terje Kvaløy (R J., 2017)

QuickMMCTest: quick multiple Monte Carlo testing. - Axel Gandy; Georg Hahn (Stat. Comput., 2017)

Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network. - Shihao Jin; Nicoló Savioli; Antonio de Marvao; Timothy J. W. Dawes; Axel Gandy; Daniel Rueckert; Declan P. O'Regan (CoRR, 2019)

Adjustable network reconstruction with applications to CDS exposures. - Axel Gandy; Luitgard Anna Maria Veraart (J. Multivar. Anal., 2019)

A simple method for implementing Monte Carlo tests. - Dong Ding; Axel Gandy; Georg Hahn (Comput. Stat., 2020)

Joint Entropy Search for Multi-Objective Bayesian Optimization. - Ben Tu; Axel Gandy; Nikolas Kantas; Behrang Shafei (NeurIPS, 2022)

Can a latent Hawkes process be used for epidemiological modelling? - Stamatina Lamprinakou; Axel Gandy; Emma J. McCoy (CoRR, 2022)

A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing. - Kevin Han Huang; Xing Liu; Andrew B. Duncan; Axel Gandy (COLT, 2023)

Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy. - Xing Liu; Andrew B. Duncan; Axel Gandy (ICML, 2023)

BART-based inference for Poisson processes. - Stamatina Lamprinakou; Mauricio Barahona; Seth R. Flaxman; Sarah Filippi; Axel Gandy; Emma J. McCoy (Comput. Stat. Data Anal., 2023)