./news

  • Jul 2026: New paper on simulation based inference for spatiotemporal extremes, led by Ryan Li, on Methodology and Computing in Applied Probability. link
  • Feb 2026: New paper on bulk-and-tail regression, co-authored with Jordan Richards, now on Extremes. link
  • Feb 2026: The Handbook of Statistics of Extremes now has a webpage! Looking forward to its release in Summer 2026.
  • Oct 2025: Our invited session proposal for JSM 2026, Deep learning for statistical inference on spatial data, has been accepted!
  • Sep 2025: Preprint on causal spatial quantile regression, led by Yan Gong, is now on ArXiv. link
  • Feb 2025: Paper on estimating limit sets for tail inference on bivariate data has been accepted for publication in Bayesian Analysis. link
  • Feb 2025: Our topic contributed session proposal for JSM 2025 - Collaborative Strategies for Predicting and Measuring Uncertainty associated with Weather and Climate Extremes, has been accepted.
  • Jan 2025: Paper on prescribed burning decision making has been accepted for publication in Ecological Informatics. link

./presentations & guest lectures

  • Dec 2025: Talk for invited session at CMStatistics 2025 (remote). Stochastic gradient MCMC for massive geostatistical data. [slides]
  • Oct 2025: Short course on AI for statistical analysis at UMBC.
  • Oct 2025: Statistics Colloquium speaker at the University of Maryland, Baltimore County, MD. Vecchia approximated density regression for spatial models with intractable likelihoods.
  • Oct 2025: Invited talk at the Workshop on Neural Simulation-based inference at the Carnegie Mellon University, PA. Vecchia approximated density regression for spatial models with intractable likelihoods.
  • Sep 2025: Invited session at the 2025 Southeast CASC Regional Science Symposium. An RxFire optimization tool for climate-informed decision making.
  • Jun 2025: Invited session at the Contemporary Advances in Statistics of Extremes workshop, Missouri. Semi-parametric bulk and tail regression using spline-based neural networks.
  • Jun 2025: Short course at the Contemporary Advances in Statistics of Extremes workshop, Missouri. AI and extremes (with Jordan Richards and Likun Zhang).
  • Jun 2025: Invited session at EVA 2025, UNC Chapel hill. Semiparametric Estimation of the Shape of the Limiting Bivariate Point Cloud.
  • Mar 2025: Guest lecture for Applied Spatial Statistics, Mizzou, Computational methods for large spatial data. [Slides] [workbook]