Light Cone Reconstruction of States - Predictive State
Estimation From Spatio-Temporal Data
Description
Estimates predictive states from spatio-temporal data and
consequently can provide provably optimal forecasts.
Currently this implementation
supports an N-dimensional spatial grid observed over equally spaced time
intervals. E.g. a video is a 2D spatial systems observed over time. This
package implements mixed LICORS, has plotting tools (for (1+1)D and (2+1)D
systems), and methods for optimal forecasting. Due to memory limitations
it is recommend to only analyze (1+1)D systems.