13 citations · 23 across the 9 of their papers we have counts for
6 papers · 1 filter
Sparse change detection in high-dimensional linear regression
Fengnan Gao, Tengyao Wang
We introduce a new methodology 'charcoal' for estimating the location of sparse changes in high-dimensional linear regression coefficients, without assuming that those coefficients…
Statistical Inference in Parametric Preferential Attachment Trees
Fengnan Gao, Aad van der Vaart
The preferential attachment (PA) model is a popular way of modeling dynamic social networks, such as collaboration networks. Assuming that the PA function takes a parametric form,…
Two-sample testing of high-dimensional linear regression coefficients via complementary sketching
Fengnan Gao, Tengyao Wang
We introduce a new method for two-sample testing of high-dimensional linear regression coefficients without assuming that those coefficients are individually estimable. The procedu…
Consistent Estimation in General Sublinear Preferential Attachment Trees
Fengnan Gao, Aad van der Vaart, Rui Castro +1
We propose an empirical estimator of the preferential attachment function in the setting of general preferential attachment trees. Using a supercritical continuous-time branchi…
On the Asymptotic Normality of Estimating the Affine Preferential Attachment Network Models with Random Initial Degrees
Fengnan Gao, Aad van der Vaart
We consider the estimation of the affine parameter (and power-law exponent) in the preferential attachment model with random initial degrees. We derive the likelihood, and show tha…
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…