research
∙
04/05/2023
Verifiable identification condition for nonignorable nonresponse data with categorical instrumental variables
We consider a model identification problem in which an outcome variable ...
share
research
∙
11/06/2022
An empirical likelihood approach to reduce selection bias in voluntary samples
We address the weighting problem in voluntary samples under a nonignorab...
research
∙
08/16/2022
Semiparametric imputation using latent sparse conditional Gaussian mixtures for multivariate mixed outcomes
This paper proposes a flexible Bayesian approach to multiple imputation ...
research
∙
08/11/2022
Semiparametric adaptive estimation under informative sampling
In survey sampling, survey data do not necessarily represent the target ...
research
∙
04/22/2022
Imputation with verifiable identification condition for nonignorable missing outcomes
Missing data often results in undesirable bias and loss of efficiency. T...
research
∙
09/26/2021
Adjusting for publication bias in meta-analysis via inverse probability weighting using clinical trial registries
Publication bias is a major concern in conducting systematic reviews and...
research
∙
06/14/2020
Prediction of aftershocks with Gaussian process regression
Uncovering the distribution of magnitudes and arrival times of aftershoc...
research
∙
06/14/2020
Prediction of aftershocks with GPR
Uncovering the distribution of magnitudes and arrival times of aftershoc...
research
∙
09/06/2019
Bayesian Semiparametric Estimation with Nonignorable Nonresponse
Statistical inference with nonresponse is quite challenging, especially ...
research
∙
09/11/2018