VIMS

Current Research Projects

  • Bayesian melding for the integrated revised universal soil loss equation (partially funded by CSIRO and NSF)
  • Evaluating the impact of deforestation policies in Australia via spatial bent-cable modeling
  • Inference for abundance of Greater Amberjack (Seriola dumerili) in the South Atlantic and Gulf of Mexico regions (funded by NOAA Sea Grant) 
  • Inference for regional mobility networks
  • Inference-based imputation of missing data on growth rings in bone and shell
  • Inference-based prediction of blue carbon stocks across multiple spatial scales (funded by USDA)
  • Inference-based prediction of low fishery recruitment and its policy impacts
  • Inter-species and species-environment network interactions across space, time, and phylogenies
  • Spatio-temporal model-based integration of long-term climate data sources with short-term El Niño-Southern Oscillation (ENSO) forecast models
  • Spatio-temporal modeling of juvenile blue crab abundance across nursery habitats
  • Spatio-temporal modeling of marine fish species movement
  • Statistical causal inference framework for latent health factor index (LHFI) modeling of socio-economic well-being (partially funded by IBISWorld)
  • Statistical inference for agent-based models and other computer simulation models via Bayesian melding
  • Statistical inference for Australian political networks (partially funded by Australian National University)