Zepu Zhang

  1. Modeling Gaussian Random Fields by Anchored Inversion and Monte Carlo Sampling.

    Authors: Zepu Zhang
    Subjects: Applications
    Abstract

    It is common and convenient to treat distributed physical parameters as
    Gaussian random fields and model them in an "inverse procedure" using
    measurements of various properties of the fields. This article presents a
    general method for this problem based on a flexible parameterization device
    called "anchors", which captures local or global features of the fields. A
    classification of all relevant data into two categories closely cooperates with
    the anchor concept to enable systematic use of datasets of different sources
    and disciplinary natures.

  2. On a recent development in stochastic inversion with applications to hydrogeology.

    Authors: Zepu Zhang
    Subjects: Applications
    Abstract

    We comment on a recent approach to stochastic inversion, which centers on a
    concept known as "anchors" and conducts nonparametric estimation of the
    likelihood of the anchors (along with other model parameters) with respect to
    data obtained from field processes. The method is called "anchored inversion"
    or (less accurately) "method of anchored distribution". Conceptual and
    technical observations are made regarding the development, interpretation, and
    use of this approach.

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