280 citations · 707 across the 23 of their papers we have counts for
5 papers · 1 filter
Asymptotic Normality of Quadratic Estimators
James Robins, Lingling Li, Eric Tchetgen Tchetgen +1
We prove conditional asymptotic normality of a class of quadratic U-statistics that are dominated by their degenerate second order part and have kernels that change with the number…
Higher Order Estimating Equations for High-dimensional Models
James Robins, Lingling Li, Rajarshi Mukherjee +2
We introduce a new method of estimation of parameters in semiparametric and nonparametric models. The method is based on estimating equations that are -statistics in the observa…
Gene network reconstruction using global-local shrinkage priors
Gwenaël G. R. Leday, Mathisca C. M. de Gunst, Gino B. Kpogbezan +3
Reconstructing a gene network from high-throughput molecular data is often a challenging task, as the number of parameters to estimate easily is much larger than the sample size. A…
Posterior contraction rates for deconvolution of Dirichlet-Laplace mixtures
Fengnan Gao, Aad van der Vaart
We study nonparametric Bayesian inference with location mixtures of the Laplace density and a Dirichlet process prior on the mixing distribution. We derive a contraction rate of th…
A General Framework for Bayes Structured Linear Models
Chao Gao, Aad W. van der Vaart, Harrison H. Zhou
High dimensional statistics deals with the challenge of extracting structured information from complex model settings. Compared with the growing number of frequentist methodologies…