13 citations · 23 across the 9 of their papers we have counts for
9 papers
Conservative adventurers have more future academic impact
Xingsheng Yang, Zhaoru Ke, Xiangyi Xiao +3
Some scientists explore unfamiliar topics, while others exploit existing ones, yet the link between these choices and academic performance remains unclear. Prior studies offer conf…
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,…
Pitfalls of amateur regression: The Dutch New Herring controversies
Fengnan Gao, Richard D. Gill
Applying simple linear regression models, an economist analysed a published dataset from an influential annual ranking in 2016 and 2017 of consumer outlets for Dutch New Herring an…
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…
Community detection in sparse latent space models
Fengnan Gao, Zongming Ma, Hongsong Yuan
We show that a simple community detection algorithm originated from stochastic blockmodel literature achieves consistency, and even optimality, for a broad and flexible class of sp…
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…