Huiyan Sang
Department of Statistical Science
Duke University
I am currently working with Alan Gelfand primarily on projects related to Bayesian modeling of extreme values and spatial statistics with applications in environmental sciences, including:
- Space-Time Hierarchical statistical models for extreme climate changes in the Cape Floristic Region of South Africa.
- Dynamic
generalized linear model for time series rainfall observations.
Bayesian computations such as Auxiliary particle filtering algorithms
and independent Metropolis-Hastings are introduced.
- Vector Autoregressive Model with Spatial
Adjustments for analyzing Self-organizing Maps to study synoptic
weather states in South Africa.
- Detecting large scale vs small scale spatial dependence for
large spatial data set.
- Spatial generalized linear model for species abundance patterns, fire intensities and other non-Gaussian spatial response data.
- MCMC and other simulation methods for Bayesian computation
- South African National Biodiversity Institute
(SANBI), on climate changes, biographic patterns and plant performance.
- School of Department of Environmental and Geographical
Science, University of Cape Town, on regional climate changes,
interpreting Self-organizing Maps and spatial downscalings.
- Department
of Ecology and Evolutionary Biology, University of Connecticut, on
abundance patterns of multi-invasive species in New England.
- Statistical and Applied Mathematical Sciences Institute (SAMSI), on Risk Analysis, Extreme Events and Decision Theory.