Multivariate data selection – Probability density estimates
{"Image DocumentName": "Multivariate data selection \u2013 Probability density estimates", "Image ImageDescription": "Probability Density Estimate technique aims to construct S(x) and B(x) separately. rather than D(x) directly, like NN does. Calculate. Idea (1-dim): represent each event of your MC sample as a Gaussian probability distribution. Add probability distributions from all events in sample. Example: Gaussian probability distributions for each event. Summed. probability distribution for all events in sample. Sample of events. Wouter Verkerke, UCSB.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}