72 citations · 132 across the 17 of their papers we have counts for
19 papers
Block-wise Primal-dual Algorithms for Large-scale Doubly Penalized ANOVA Modeling
Penghui Fu, Zhiqiang Tan
For multivariate nonparametric regression, doubly penalized ANOVA modeling (DPAM) has recently been proposed, using hierarchical total variations (HTVs) and empirical norms as pena…
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation
Zhiqiang Tan
Consider sensitivity analysis for estimating average treatment effects under unmeasured confounding, assumed to satisfy a marginal sensitivity model. At the population level, we pr…
Imputation Maximization Stochastic Approximation with Application to Generalized Linear Mixed Models
Zexi Song, Zhiqiang Tan
Generalized linear mixed models are useful in studying hierarchical data with possibly non-Gaussian responses. However, the intractability of likelihood functions poses challenges…
High-dimensional model-assisted inference for treatment effects with multi-valued treatments
Wenfu Xu, Zhiqiang Tan
Consider estimation of average treatment effects with multi-valued treatments using augmented inverse probability weighted (IPW) estimators, depending on outcome regression and pro…
On Irreversible Metropolis Sampling Related to Langevin Dynamics
Zexi Song, Zhiqiang Tan
There has been considerable interest in designing Markov chain Monte Carlo algorithms by exploiting numerical methods for Langevin dynamics, which includes Hamiltonian dynamics as…
Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data
Peng Wu, Zhiqiang Tan, Wenjie Hu +1
Covariate-specific treatment effects (CSTEs) represent heterogeneous treatment effects across subpopulations defined by certain selected covariates. In this article, we consider ma…