93 citations · 248 across the 30 of their papers we have counts for
5 papers · 1 filter
On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization
Fei Jiang, Yeqing Zhou, Jianxuan Liu +1
We study estimation and testing in the Poisson regression model with noisy high dimensional covariates, which has wide applications in analyzing noisy big data. Correcting for the…
Matrix-valued Network Autoregression Model with Latent Group Structure
Yimeng Ren, Xuening Zhu, Ganggang Xu +1
Matrix-valued time series data are frequently observed in a broad range of areas and have attracted great attention recently. In this work, we model network effects for high dimens…
Testing for high-dimensional white noise
Long Feng, Binghui Liu, Yanyuan Ma
Testing for multi-dimensional white noise is an important subject in statistical inference. Such test in the high-dimensional case becomes an open problem waiting to be solved, esp…
Semiparametric Approach to Estimation of Marginal and Quantile Effects
Seong-ho Lee, Yanyuan Ma, Elvezio Ronchetti
We consider a semiparametric generalized linear model and study estimation of both marginal and quantile effects in this model. We propose an approximate maximum likelihood estimat…
Just Identified Indirect Inference Estimator: Accurate Inference through Bias Correction
Yuming Zhang, Yanyuan Ma, Samuel Orso +3
An important challenge in statistical analysis lies in controlling the estimation bias when handling the ever-increasing data size and model complexity of modern data settings. In…