Showing math.STShow all
2 papers · 1 filter
math.ST2026
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…
math.ST2026
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…