In certain multivariate problems the full probability density has an awkward normalizing constant, but the conditional and/or marginal distributions may be much more tractable. In this paper we ...

We prove strong consistency of a class of maximum objective estimators for exponential parametric families of Markov random fields on Z d, including both maximum likelihood and pseudolikelihood ...

Identify characteristics of “good” estimators and be able to compare competing estimators. Construct sound estimators using the techniques of maximum likelihood and method of moments estimation.

A brief description of the methods used by the SYSLIN procedure follows. For more information on these methods, see the references at the end of this chapter. There are two fundamental methods of ...

The purpose of this paper is to present a comprehensive simulation study on the finite sample properties of minimum distance and maximum likelihood estimators for bivariate and multivariate parametric ...