Yan, Y., Zheng, X., and Kottas, A. A new family of error distributions for Bayesian quantile regression. [link]
Zheng, X., Kottas, A., and Sansó, B. Mixture modeling for temporal point processes with memory. [link]
(An earlier version received the 2023 ASA Business and Economics Statistics Section Student Paper Award)

Zheng, X., Kottas, A., and Sansó, B. (2023). Nearest-neighbor mixture models for non-Gaussian spatial processes.
Bayesian Analysis, 18(4), 1191-1222. DOI: 10.1214/23-BA1405 [arXiv] [code]
(An earlier version received the 2022 ISBA Section on Environmental Sciences Student Paper Award)
Zheng, X., Kottas, A., and Sansó, B. (2023). Bayesian geostatistical modeling for discrete-valued processes.
Environmetrics, 34(7), e2805. https://doi.org/10.1002/env.2805 [arXiv] [code]
Zheng, X., Kottas, A., and Sansó, B. (2022). On construction and estimation of stationary mixture transition distribution models.
Journal of Computational and Graphical Statistics, 31, 283-293. https://doi.org/10.1080/10618600.2021.1981342 [arXiv] [code]
(An earlier version received the 2021 ASA Section on Bayesian Statistical Science Student Paper Award)