Aggregate data and the Prohorov Metric Framework: Efficient gradient computation

We discuss efficient methods for computing gradients in inverse problems for estimation of distributions for individual parameters in models where only aggregate or population level data is available. The ideas are illustrated with two examples arising in applications.