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Found 4 papers, 0 papers with code
Statistical inference using Regularized M-estimation in the reproducing kernel Hilbert space for handling missing data
A nonparametric propensity score estimator using the reproducing kernel Hilbert space is also developed by a novel application of the maximum entropy method for the density ratio function estimation.
Maximum sampled conditional likelihood for informative subsampling
Subsampling is a computationally effective approach to extract information from massive data sets when computing resources are limited.
An Approximate Bayesian Approach to Model-assisted Survey Estimation with Many Auxiliary Variables
Model-assisted estimation with complex survey data is an important practical problem in survey sampling.
Methodology
Imputation estimators for unnormalized models with missing data
We propose estimation methods for such unnormalized models with missing data.
