… Despite their theoretical appeal, the applicability of these methods to real data is still limited
… a hierarchical approach to methods of moments to circumvent such limitations. Our method …

… between the results of our higher-order hierarchical MoM and the analytical Mie series solution…
hierarchical MoM are compared with those of an existing multilevel fast multipole method (…

… Nevertheless, moment methods have not previously been … is the development of a new
method of moments for HIL in the … develop a method of moments for HIL inspired by the method of …

… While in [15] we have provided ample proof of the basic accuracy of our method, in the
following we also provide error values, which also show the high accuracy for hierarchical …

The Adaptive Integral Method (AIM) is applied to solve the volume integral equation in
conjunction with the higher-order Method of Moments (MoM). The classical AIM is modified for …

… -based estimation procedure is often faster than likelihood-based methods. The … hierarchical
models in more detail in Section 2. Next, in Section 3 we describe the proposed moment-…

… the object, whereas IE methods such as the Method of Moments (MoM) discretizes only the
… The method that we examine in this work is the Method of Moments, and as such we will be …

… Approximation (MLACA), which comprises a hierarchical extension of the ACA presented …
methods to provide some context in how the Moment Method fits in the CEM environment. …

… Polynomial basis functions adopted for implementation in this paper are hierarchical
functions, that is, each lower-order set of functions is a subset of all higher-order sets. These …

This paper considers a generalized method of moments (GMM) estimation problem in which
one has a vector of moment conditions, some of which are correct and some incorrect. The …