$^*$ 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]

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