H.T. Banks, W. Clayton Thompson
Center for Research in Scientific Computation
Department of Mathematics
North Carolina State University
Raleigh, NC 27695-8212, USA
Quantitative Systems Pharmacology Lab
Cardiovascular and Metabolic Diseases Research Unit, Pfizer Inc.
Cambridge, MA 02139, USA

Abstract. We consider nonparametric estimation of probability measures for parameters in problems where only aggregate (population level) data are available. We summarize an existing computational method for the estimation problem which has been developed over the past several decades [3, 6, 15, 18, 20]. New theoretical results are presented which establish the existence and consistency of very general (ordinary, generalized and other) least squares estimates for the measure estimation problem.

Received: September 6, 2015

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