| Title: | Title: Improving Collection with Forecasting |
| Speaker: | John Greer Program Manager, NGA Research National Geospatial-Intelligence Agency Springfield, VA |
| Abstract: | I will discuss recent work using mathematical models to understand and predict event data ??? data labeled with a place, time, and type of activity. The work builds on Self-Exciting Point Process (SEPP) models used for pattern analysis and prediction in seismology and crime prevention. In addition to giving intuitive descriptions of different types of point processes, I will show how to use them to forecast, and how to evaluate those forecasts. One of the applications for this work is to drive image collection by satellites. I will also give a brief overview of the National Geospatial-Intelligence Agency (NGA) and some of its biggest scientific challenges. |
| Location: | Palenske 227 |
| Date: | 4/7/2016 |
| Time: | 3:30 PM |
@abstract{MCS:Colloquium:JohnGreer:2016:4:7,
author = "{John Greer}",
title = "{Title: Improving Collection with Forecasting}",
address = "{Albion College Mathematics and Computer Science Colloquium}",
month = "{7 April}",
year = "{2016}"
}