We study a likelihood ratio test for the location of the mode of a log-concave density. Our test is based on comparison of the log-likelihoods corres…

The Ising model is a useful tool for studying complex interactions within a system. The estimation of such a model, however, is rather challenging, e…

I believe that once a sample has been selected the key issue is how the unseen are related to the seen. I believe that this is in line with much frequentist practice although this is obscured by the prominent and unnecessary role played by the desig…

Discussion of "Impact of Frequentist and Bayesian Methods on Survey Sampling Practice: A Selective Appraisal" by J. N. K. Rao [arXiv:1108.2356]

A sparse precision matrix can be directly translated into a sparse Gaussian graphical model under the assumption that the data follow a joint normal …

The complexity of semiparametric models poses new challenges to statistical inference and model selection that frequently arise from real application…

We consider a Bayesian hierarchical version of the normal theory general linear model which is practically relevant in the sense that it is general e…

We propose a new algorithm for envelope estimation, along with a new root n consistent method for computing starting values. The new algorithm, which…

It is common practice in Markov chain Monte Carlo to update the simulation one variable (or sub-block of variables) at a time, rather than conduct a …

This paper studies the asymptotic behaviors of the pairwise angles among n randomly and uniformly distributed unit vectors in R^p as the number of po…

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