Maximum Likelihood Estimates

This paper rigorously establishes that the existence of the maximum likelihood estimate (MLE) in high-dimensional logistic… Expand

BackgroundSeveral phylogenetic approaches have been developed to estimate species trees from collections of gene trees. However… Expand

We describe a Monte Carlo method to approximate the maximum likelihood estimate (MLE), when there are missing data and the… Expand

The maximum likelihood approach to jointly model the survival time and its longitudinal covariates has been successful to model… Expand

The importance of haplotype analysis in the context of association fine mapping of disease genes has grown steadily over the last… Expand

We study consistency and asymptotic normality of posterior distributions of the natural parameter for an exponential family when… Expand

We develop a general theory which provides a unified treatment for the asymptotic normality and efficiency of the maximum… Expand

Abstract The new class of Fractionally Integrated Generalized AutoRegressive Conditionally Heteroskedastic (FIGARCH) processes is… Expand

A simulation study was carried out on a backcross population in order to determine the effect of marker spacing, gene effect and… Expand

The accelerated failure time regression model is most commonly used with right-censored survival data. This report studies the… Expand