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2020 – today
- 2023
[j12]Stamatina Lamprinakou
, Mauricio Barahona, Seth R. Flaxman, Sarah Filippi, Axel Gandy, Emma J. McCoy:
BART-based inference for Poisson processes. Comput. Stat. Data Anal. 180: 107658 (2023)- [c3]Kevin H. Huang, Xing Liu, Andrew B. Duncan, Axel Gandy:
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing. COLT 2023: 3827-3918 - [c2]Xing Liu, Andrew B. Duncan, Axel Gandy:
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy. ICML 2023: 21527-21547 - [i6]Kevin H. Huang, Xing Liu, Andrew B. Duncan, Axel Gandy:
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing. CoRR abs/2302.05686 (2023) - [i5]Xing Liu, Andrew B. Duncan, Axel Gandy:
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy. CoRR abs/2304.14762 (2023) - 2022
- [c1]Ben Tu, Axel Gandy, Nikolas Kantas, Behrang Shafei:
Joint Entropy Search for Multi-Objective Bayesian Optimization. NeurIPS 2022 - [i4]Stamatina Lamprinakou, Axel Gandy, Emma J. McCoy:
Can a latent Hawkes process be used for epidemiological modelling? CoRR abs/2208.07340 (2022) - [i3]Ben Tu, Axel Gandy, Nikolas Kantas, Behrang Shafei:
Joint Entropy Search for Multi-objective Bayesian Optimization. CoRR abs/2210.02905 (2022) - 2020
- [j11]Dong Ding, Axel Gandy, Georg Hahn:
A simple method for implementing Monte Carlo tests. Comput. Stat. 35(3): 1373-1392 (2020) - [i2]Stamatina Lamprinakou, Emma J. McCoy, Mauricio Barahona, Axel Gandy, Seth R. Flaxman, Sarah Filippi:
BART-based inference for Poisson processes. CoRR abs/2005.07927 (2020)
2010 – 2019
- 2019
- [j10]Axel Gandy, Luitgard Anna Maria Veraart:
Adjustable network reconstruction with applications to CDS exposures. J. Multivar. Anal. 172: 193-209 (2019) - [i1]Shihao Jin, Nicoló Savioli, Antonio de Marvao, Timothy J. W. Dawes, Axel Gandy, Daniel Rueckert, Declan P. O'Regan:
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network. CoRR abs/1910.02951 (2019) - 2017
- [j9]Axel Gandy, Luitgard A. M. Veraart:
A Bayesian Methodology for Systemic Risk Assessment in Financial Networks. Manag. Sci. 63(12): 4428-4446 (2017) - [j8]Axel Gandy, Jan Terje Kvaløy:
spcadjust: An R Package for Adjusting for Estimation Error in Control Charts. R J. 9(1): 458 (2017) - [j7]Axel Gandy, Georg Hahn:
QuickMMCTest: quick multiple Monte Carlo testing. Stat. Comput. 27(3): 823-832 (2017) - 2016
- [j6]Axel Gandy, F. Din-Houn Lau:
The Chopthin Algorithm for Resampling. IEEE Trans. Signal Process. 64(16): 4273-4281 (2016) - 2014
- [j5]F. Din-Houn Lau, Axel Gandy:
RMCMC: A system for updating Bayesian models. Comput. Stat. Data Anal. 80: 99-110 (2014) - 2013
- [j4]Axel Gandy, Roberto Trotta:
Special Issue on Astrostatistics. Stat. Anal. Data Min. 6(1): 1-2 (2013) - [j3]Marc Y. R. Henrion, David J. Hand, Axel Gandy, Daniel J. Mortlock:
CASOS: a subspace method for anomaly detection in high dimensional astronomical databases. Stat. Anal. Data Min. 6(1): 53-72 (2013) - 2011
- [j2]Ioannis Phinikettos, Axel Gandy:
Fast computation of high-dimensional multivariate normal probabilities. Comput. Stat. Data Anal. 55(4): 1521-1529 (2011)
2000 – 2009
- 2007
- [j1]Axel Gandy, Patrick Jäger, Bernd Bertsche, Uwe Jensen:
Decision support in early development phases - A case study from machine engineering. Reliab. Eng. Syst. Saf. 92(7): 921-929 (2007)
Coauthor Index
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