Spatial composite likelihood inference using local C-vines

Likelihood Dominance Spatial Inference

Geographical Analysis, Vol. 35, No. 2 (April 2003) The Ohio State University Submitted: February 13, 2002. Revised version accepted: October 8, 2002. We would like to gratefully acknowledge the research support received from the National Science Foundation (BCS-0136193 and BCS-0136229). In addition, Pace would like to thank Ana Militino, Lola Ugarte, and the other seminar participants at the Un...

Composite likelihood inference by nonparametric saddlepoint tests

The class of composite likelihood functions provides a flexible and powerful toolkit to carry out approximate inference for complex statistical models when the full likelihood is either impossible to specify or unfeasible to compute. However, the strenght of the composite likelihood approach is dimmed when considering hypothesis testing about a multidimensional parameter because the finite samp...

Statistical inference and visualization in scale-space using local likelihood

SiZer (SIgnificant ZERo crossing of the derivatives) is a graphical scale-space visualization tool that allows for exploratory data analysis with statistical inference. Various SiZer tools have been developed in the last decade, but most of them are not appropriate when the response variable takes discrete values. In this paper, we develop a SiZer for finding significant features using a local ...

Composite likelihood method for inferring local pedigrees

Pedigrees contain information about the genealogical relationships among individuals and are of fundamental importance in many areas of genetic studies. However, pedigrees are often unknown and must be inferred from genetic data. Despite the importance of pedigree inference, existing methods are limited to inferring only close relationships or analyzing a small number of individuals or loci. We...

Local Maximum Likelihood Estimation and Inference