$^*$ corresponding author $^+$ student advisees or student co-authors
Work in progress #
- Spatial statistical downscaling of economic data.
Noel Cressie$^*$, David Gunawan, Andrew Zammit-Mangion, and Xiaotian Zheng.
Submitted. [Preprint]
- Bayesian quantile regression for marked temporal point processes.
Skylar Shi$^+$ and Xiaotian Zheng*.
- Generalized chi-squared process for spatial dissimilarity.
Xiaotian Zheng$^*$, Andrew Zammit-Mangion, and Noel Cressie.
Book chapter #
- Fine-resolution climate data in ecological applications: A spatial-statistical perspective.
Xiaotian Zheng* and Bella Salter$^+$ .
To appear in Encyclopedia of Climate System Science, 2026. [link]
[Elsevier Major Reference Work in Earth Systems and Environmental Sciences]
Refereed journal articles #
- Mixture modeling for temporal point processes with memory.
Xiaotian Zheng$^*$, Athanasios Kottas, and Bruno Sansó.
Journal of the American Statistical Association (Theory and Methods), 2026. [link]
[An earlier version received the 2023 ASA Business and Economics Statistics Section Student Paper Award]
- Transferring species distribution models to understudied systems: Does data integration help?
Charlotte R. Patterson$^+$$^*$, Xiaotian Zheng, Scott D. Foster, and Kate J. Helmstedt.
Methods in Ecology and Evolution, 2025. [link] [GitHub] [Zenodo] - Spatial-statistical downscaling with uncertainty quantification in biodiversity modelling.
Xiaotian Zheng$^*$, Noel Cressie, David A. Clarke, Melodie A. McGeoch, and Andrew Zammit-Mangion.
Methods in Ecology and Evolution, 2025. [link] [GitHub] [Zenodo] - A new family of error distributions for Bayesian quantile regression.
Yifei Yan, Xiaotian Zheng, and Athanasios Kottas$^*$.
Bayesian Analysis, 2025. [link] [GitHub] - Nearest-neighbor mixture models for non-Gaussian spatial processes.
Xiaotian Zheng$^*$, Athanasios Kottas, and Bruno Sansó.
Bayesian Analysis, 2023. [link] [GitHub]
[An earlier version received the 2022 ISBA Section on Environmental Sciences Student Paper Award] - Bayesian geostatistical modeling for discrete-valued processes.
Xiaotian Zheng$^*$, Athanasios Kottas, and Bruno Sansó.
Environmetrics, 2023. [link] [GitHub]
[The paper received the 2023 Wiley-TIES Best Environmetrics Paper Award] - On construction and estimation of stationary mixture transition distribution models.
Xiaotian Zheng$^*$, Athanasios Kottas, and Bruno Sansó.
Journal of Computational and Graphical Statistics, 2022. [link] [arXiv] [GitHub]
[An earlier version received the 2021 ASA Section on Bayesian Statistical Science Student Paper Award]