Lieshout, M. N. M. van & Lu, C. (2025), ` Bayesian inference for independent cluster processes ', submitted. (alphabetical order) 

Lu, C., Xu, G., Yang, J. & Guan, Y. (2025), ` On ignorability of preferential sampling in geostatistics ',  submitted.

Lu, C., Guan, Y., Lieshout, M. N. M. van & Xu, G. (2026), ` XGBoostPP: Tree-based estimation of point process intensity functions ', Journal of Computational and Graphical Statistics, 35(1), 229-240.

Lieshout, M. N. M. van & Lu, C. (2025), ` Infill asymptotics for logistic regression estimators for parameters of the intensity function of spatial point processes ', Annals of the Institute of Statistical Mathematics, in press. (alphabetical order)

Lieshout, M. N. M. van & Lu, C. (2024), ` M.N.M. van Lieshout and C. Lu's contribution to the Discussion of `the Discussion Meeting on Probabilistic and statistical aspects of machine learning' ', Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(2), 306-307. (alphabetical order)

Lu, C., Lieshout, M. N. M. van, Graaf, M. de & Visscher, P. (2023), ` Data-driven chimney fire risk prediction using machine learning and point process tools ', Annals of Applied Statistics, 17(4), 3088-3111.

Lu, C., Pathak, S., Englebienne, G. & Seifert, C. (2022), ` Channel contribution in deep learning based automatic sleep scoring - How many channels do we need? ', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 494-505.

Lu, C., Lieshout, M. N. M. van, Graaf, M. de & Visscher, P. (2021), ` Chimney fire prediction based on environmental variables ', Proceeding of the 63rd World Statistics Congress, ISI 2021, 288-291.

Pathak, S., Lu, C., Nagaraj, S. B., Putten M. van & Seifert, C. (2021), ` STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring ', Artificial Intelligence in Medicine, 114, 102038.