5 papers
Adaptive mixture variational inference for spike-and-slab regression
Hanqing Li, Yaroslav Golub, Xuewen Lu
Correlated predictors can support competing sparse explanations with similar predictions, making joint uncertainty about variable inclusion difficult to capture with mean-field app…
Regional summaries of Bayesian model uncertainty
Hanqing Li, Robert Nguyen, Xuewen Lu +1
Bayesian posterior uncertainty can be spread across many models that share the same substantive pattern. Lists of individual models can obscure this structure, while marginal summa…
Deep Neural Networks for Doubly Robust Estimation with Nonprobability Survey Samples
Yufang Dai, Shihua Luo, Wendy Lou +2
Integrating probability and nonprobability survey samples is an important problem in modern survey sampling. Nonprobability samples often contain rich outcome information but may l…
Bernstein-von Mises theorem for sparse generalized linear models
Hanqing Li, Xuewen Lu
We establish an oracle Bernstein-von Mises theorem for high-dimensional sparse generalized linear models under an outcome-independent spike-and-slab prior. The posterior consistent…
Variable Selection with Broken Adaptive Ridge Regression for Interval-Censored Competing Risks Data
Fatemeh Mahmoudi, Chenxi Li, Kaida Cai +1
Competing risks data refer to situations where the occurrence of one event pre- cludes the possibility of other events happening, resulting in multiple mutually exclusive events. T…