Abstract We classify the two-way quasi-independence models (independence with structural zeros) that have rational maximum likelihood estimators, or MLEs. give a necessary and sufficient condition on bipartite graph associated to model for MLE be rational. In this case, we an explicit formula in terms of combinatorial features graph. also use Horn uniformization show general log-linear M MLE, a...

In this note we explain the use of the Akiake Information Criterion and its related model comparison indices (usually derived for maximum likelihood estimator inverse problem formulations) for use with least squares (ordinary, weighted, iterative weighted or ”generalized”, etc.) based inverse problem formulations. The ideas are illustrated with several examples of interest in biology.

Drawing inferences about treatment effects is of interest in many fields. We consider Robins’s marginal and nested structural models and propose likelihood and regression estimators in the cross-sectional setting. First, we choose to retain a finite subset of all inherent and modelling constraints on the the joint distributions of potential outcomes and covariates under a correctly specified pr...

This paper proposes a new multipitch estimator based on a likelihood maximization principle. For each tone, a sinusoidal model is assumed with a colored, Moving-Average, background noise and an autoregressive spectral envelope for the overtones. A monopitch estimator is derived following a Weighted Maximum Likelihood principle and leads to find the fundamental frequency (F0) which jointly maxim...

Given a 3D object and some measurements for points in this object, it is desired to find the 3D location of the object. A new model based pose estimator from stereo pairs based on linear programming (LP) is presented. In the presence of outliers, the new LP estimator provides better results than maximum likelihood estimators such as weighted least squares, and is usually almost as good as robus...