4 papers · 1 filter
Semiparametric Efficient Inference under Non-Informative Complex Survey Designs
Hiroki Chiba, Kosuke Morikawa
Two features intrinsic to survey sampling complicate semiparametric efficiency analysis: design-induced dependence among sampling indicators and the randomness of finite-population…
Coherent and robust Bayesian inference under informative sampling via sample-level weight models
Kosuke Morikawa, Jae Kwang Kim, Won Chang
We develop two complementary Bayesian procedures for analytic inference under informative sampling. The first constructs a coherent likelihood by modeling the sample-level distribu…
TS-Neyman: Posterior Sampling for Adaptive Stratified Estimation
Kosuke Morikawa, Mst Moushumi Pervin, Jae Kwang Kim
Many model evaluation tasks reduce to estimating an average loss, error rate, or subgroup metric on a stratified pool when each label, human rating, or simulator call is costly. Th…
Semiparametric Efficient Data Integration Using the Dual-Frame Sampling Framework
Kosuke Morikawa, Jae Kwang Kim
Integrating probability and non-probability samples is increasingly important, yet unknown non-probability inclusion mechanisms complicate identification and efficient estimation.…