System and method for efficient estimation of cumulative distribution function

A computer-implemented system for estimating a Cumulative Distribution Function (CDF), the system comprising:

• at least one processor;
• and
• memory in communication with said at least one processor storing an CDF Estimator comprising a trained neural network and machine-readable instructions, wherein the instructions, when executed at said at least one processor, cause said system to:
• receive input data representing a volume V of a target space indicating a future target event;
• compute, using the trained neural network, an estimation of a first flux through a boundary of the volume V;
• compute, using the trained neural network, an estimation of a second flux through a boundary of a volume W of a base space based on the estimation of the first flux through the boundary of the volume V;
• generate, using the trained neural network, an estimation of a CDF for the volume V based on the second flux through the boundary of the volume W;
• compute a probability for the future target event based on the estimated CDF for the volume V;
• and
• generate a control command based on the probability for the future target event.