Preprints #

• Mixture modeling for temporal point processes with memory.
  Xiaotian Zheng$^*$, Athanasios Kottas, and Bruno Sansó.
  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]

Refereed journal articles #

• Transferring species distribution models to understudied systems: Does data integration help?
  Charlotte R. Patterson$^+$$^*$, Xiaotian Zheng, Scott D. Foster, and Kate J. Helmstedt.
  Methods in Ecology and Evolution, 2025. [DOI: 10.1111/2041-210X.70178] [GitHub] [Zenodo]
• Spatial-statistical downscaling with uncertainty quantification in biodiversity modelling.
  Xiaotian Zheng$^*$, Noel Cressie, David A. Clarke, Melodie A. McGeoch, and Andrew Zammit-Mangion.
  Methods in Ecology and Evolution, 2025. [DOI: 10.1111/2041-210X.14505] [GitHub] [Zenodo]
• A new family of error distributions for Bayesian quantile regression.
  Yifei Yan, Xiaotian Zheng, and Athanasios Kottas$^*$.
  Bayesian Analysis, 2025. [DOI: 10.1214/25-BA1507] [GitHub]
• Nearest-neighbor mixture models for non-Gaussian spatial processes.
  Xiaotian Zheng$^*$, Athanasios Kottas, and Bruno Sansó.
  Bayesian Analysis, 2023. [DOI: 10.1214/23-BA1405] [arXiv] [GitHub]
  [An earlier version received the 2022 ISBA Section on Environmental Sciences Student Paper Award]
• Bayesian geostatistical modeling for discrete-valued processes.
  Xiaotian Zheng$^*$, Athanasios Kottas, and Bruno Sansó.
  Environmetrics, 2023. [DOI: 10.1002/env.2805] [arXiv] [GitHub]
  [The paper received the 2023 Wiley-TIES Best Environmetrics Paper Award]
• On construction and estimation of stationary mixture transition distribution models.
  Xiaotian Zheng$^*$, Athanasios Kottas, and Bruno Sansó.
  Journal of Computational and Graphical Statistics, 2022. [DOI: 10.1080/10618600.2021.1981342] [arXiv] [GitHub]
  [An earlier version received the 2021 ASA Section on Bayesian Statistical Science Student Paper Award]