Submitted by acf199 on

Spatial and Spatiotemporal Data

Models for Spatial and Spatiotemporal Data

Spatial data, data that have locations associated with them, and spatiotemporal data, spatial data that have been collected over time, appear in an enormous number of research areas, from ecology, climate science, and neuroscience, to criminology, infectious disease modeling, and astronomy. Penn State Statistics has several faculty who work on developing new spatial and spatiotemporal models to address scientific questions from a wide variety of disciplines, for instance studying the spread of infectious diseases, the ecology of lakes, the dynamics of animal movement, neuroscience, and the impact of climate on ice sheets. 

Faculty

Le Bao
Le
Bao
Professor and Associate Department Head
Email:
Phone:
(814) 865-9443
Interests:
Bayesian Models, Statistical Computing, Small Area Estimation, Diagnostics for Complicated Statistical Models, Applications in Public Health and Social Sciences

Francesca Chiaromonte
Francesca
Chiaromonte
Professor of Statistics, Dorothy Foehr Huck and J. Lloyd Huck Chair in Statistics for the Life Sciences
Email:
Phone:
(814) 865-7075
Interests:
High-dimensional & Undersampled data, Dimension Reduction & Feature Selection Methods, Regression & Multivariate Methods, Bioinformatics, "Omics" & Biomedical applications, Meteorology, Climate, Economics applications

Justin Silverman
Justin
Silverman
Assistant Professor of Information Science & Technology, Statistics, and Medicine
Email:
Phone:
(814) 863-8304
Interests:
Bayesian Statistics, Partially Identified Models, Model Misspecification, Count Data, Machine Learning, Genomics