Statistics and Sensor Analytics
Leveraging statistical, mathematical, and physical models to quantify and control uncertainty to support national security decision makers and further scientific discovery. Our sensor analytics research focuses on gaining fundamental understanding of physical, chemical, and biological signatures through analysis, modeling, simulation, and experimentation. As a leader in applied statistics and mathematics research, we develop novel data-analysis methods to extract hidden features, anomalies, and signatures from high-dimensional, large-volume, multimedia data in support of discovery and quantifiable decision-making. We develop methods and tools to optimize data-gathering approaches through sampling and experimental design.
For more information, see the Statistics and Sensors Analytics website or contact Larry Chilton at (509) 372-4399 or lawrence.chilton@pnl.gov