Environmental Statistics

Environmental data often involve complex spatial and temporal structures, measurement error, and incomplete observations, making their analysis both challenging and essential. Statistical methodology in this area is critical for understanding environmental processes, assessing the impacts of climate change, managing natural resources, and informing environmental policy. Faculty in our department are advancing applied research in environmental statistics. 

• Spatial and spatio-temporal modeling of environmental processes
• Statistical methods for climate change and weather prediction
• Environmental risk assessment and uncertainty quantification