| Xiaotian Zheng

$^*$ corresponding author $^+$ advisee and other student co-authors

Patterson, C. R.$^+$$^*$, Zheng, X., Foster, S. D., and Helmstedt, K. J. (2025+). Transferring species distribution models to understudied systems: Does data integration help?
(In revision with Methods in Ecology and Evolution; manuscript available upon request)
Zheng, X.$^*$, Kottas, A., and Sansó, B. (2023+). Mixture modeling for temporal point processes with memory.
(In revision with Journal of the American Statistical Association) [arXiv]
[An earlier version received the 2023 ASA Business and Economics Statistics Section Student Paper Award]

Zheng, X.$^*$, Cressie, N., Clarke, D. A., McGeoch, M. A., and Zammit-Mangion, A. (2025). Spatial-statistical downscaling with uncertainty quantification in biodiversity modelling.
Methods in Ecology and Evolution, 16, 837–853.
[DOI: 10.1111/2041-210X.14505] [GitHub] [Zenodo]
Yan, Y., Zheng, X., and Kottas, A.$^*$ (2025). A new family of error distributions for Bayesian quantile regression. Bayesian Analysis.
[DOI: 10.1214/25-BA1507] [GitHub]
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] [GitHub]
[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.
[DOI: 10.1002/env.2805] [arXiv] [GitHub]
[The paper received the 2023 Wiley-TIES Best Environmetrics Paper Award]
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.
[DOI: 10.1080/10618600.2021.1981342] [arXiv] [GitHub]
[An earlier version received the 2021 ASA Section on Bayesian Statistical Science Student Paper Award]