10 citations · 25 across the 15 of their papers we have counts for
18 papers
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.…
Robust Estimation and Model Selection for the Controlled Directed Effect with Unmeasured Mediator-Outcome Confounders
Shunichiro Orihara, Shinpei Imori, Kosuke Morikawa +2
Controlled Direct Effect (CDE) is one of the causal estimands used to evaluate both exposure and mediation effects on an outcome. When there are unmeasured confounders existing bet…
Efficient Multiple-Robust Estimation for Nonresponse Data Under Informative Sampling
Kosuke Morikawa, Kenji Beppu, Wataru Aida
Nonresponse after probability sampling is a universal challenge in survey sampling, often necessitating adjustments to mitigate sampling and selection bias simultaneously. This stu…