BART-based inference for Poisson processes.
Comput. Stat. Data Anal., April, 2023
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy.
Proceedings of the International Conference on Machine Learning, 2023
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Can a latent Hawkes process be used for epidemiological modelling?
CoRR, 2022
Joint Entropy Search for Multi-Objective Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A simple method for implementing Monte Carlo tests.
Comput. Stat., 2020
Adjustable network reconstruction with applications to CDS exposures.
J. Multivar. Anal., 2019
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network.
CoRR, 2019
QuickMMCTest: quick multiple Monte Carlo testing.
Stat. Comput., 2017
spcadjust: An R Package for Adjusting for Estimation Error in Control Charts.
R J., 2017
A Bayesian Methodology for Systemic Risk Assessment in Financial Networks.
Manag. Sci., 2017
The Chopthin Algorithm for Resampling.
IEEE Trans. Signal Process., 2016
RMCMC: A system for updating Bayesian models.
Comput. Stat. Data Anal., 2014
CASOS: a subspace method for anomaly detection in high dimensional astronomical databases.
Stat. Anal. Data Min., 2013
Special Issue on Astrostatistics.
Stat. Anal. Data Min., 2013
Fast computation of high-dimensional multivariate normal probabilities.
Comput. Stat. Data Anal., 2011
Decision support in early development phases - A case study from machine engineering.
Reliab. Eng. Syst. Saf., 2007