46 citations · 52 across the 5 of their papers we have counts for
5 papers
Parametric Bootstrap Confidence Intervals for the Multivariate Fay-Herriot Model
Takumi Saegusa, Shonosuke Sugasawa, Partha Lahiri
The multivariate Fay-Herriot model is quite effective in combining information through correlations among small area survey estimates of related variables or historical survey esti…
Large Sample Theory for Merged Data from Multiple Sources
Takumi Saegusa
We develop large sample theory for merged data from multiple sources. Main statistical issues treated in this paper are (1) the same unit potentially appears in multiple datasets f…
Joint Estimation of Precision Matrices in Heterogeneous Populations
Takumi Saegusa, Ali Shojaie
We introduce a general framework for estimation of inverse covariance, or precision, matrices from heterogeneous populations. The proposed framework uses a Laplacian shrinkage pena…
Bootstrapping Two-phase Sampling
Takumi Saegusa
We propose a nonparametric bootstrap procedure for two-phase stratified sampling without replacement. In this design, a weighted likelihood estimator is known to have smaller asymp…
Weighted likelihood estimation under two-phase sampling
Takumi Saegusa, Jon A. Wellner
We develop asymptotic theory for weighted likelihood estimators (WLE) under two-phase stratified sampling without replacement. We also consider several variants of WLEs involving e…