123 citations · 136 across the 5 of their papers we have counts for
7 papers
A Nested Error Regression Model with High Dimensional Parameter for Small Area Estimation
Partha Lahiri, Nicola Salvati
In this paper we propose a flexible nested error regression small area model with high dimensional parameter that incorporates heterogeneity in regression coefficients and variance…
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…
Multi-Goal Prior Selection: A Way to Reconcile Bayesian and Classical Approaches for Random Effects Models
Masayo Y. Hirose, Partha Lahiri
The two-level normal hierarchical model has played an important role in statistical theory and applications. In this paper, we first introduce a general adjusted maximum likelihood…
A General Bayesian Approach to Meet Different Inferential Goals in Poverty Research for Small Areas
Partha Lahiri, Jiraphan Suntornchost
Poverty mapping that displays spatial distribution of various poverty indices is most useful to policymakers and researchers when they are disaggregated into small geographic units…
An Evaluation of Design-based Properties of Different Composite Estimators
Daniel Bonnéry, Yang Cheng, Partha Lahiri
For the last several decades, the US Census Bureau has been using the AK composite estimation method to produce statistics on employment from the Current Population Survey (CPS) da…
Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models
Snigdhansu Chatterjee, Partha Lahiri, Huilin Li
Empirical best linear unbiased prediction (EBLUP) method uses a linear mixed model in combining information from different sources of information. This method is particularly usefu…