3 citations · 5 across the 6 of their papers we have counts for
3 papers · 1 filter
Reconciliation of Bayes and empirical Bayes interval estimation with application to small area estimation
Aditi Sen, Masayo Y. Hirose, Partha Lahiri
Multi-level normal hierarchical models, also interpreted as mixed effects models, play an important role in developing statistical theory in multi-parameter estimation for a wide r…
Multidimensional Poverty Mapping for Small Areas
Soumojit Das, Dilshanie Deepawansa, Partha Lahiri
Many countries measure poverty based only on income or consumption. However, there is a growing awareness of measuring poverty through multiple dimensions that captures a more reas…
Empirical best prediction of poverty indicators via nested error regression with high dimensional parameters
Yuting Chen, Partha Lahiri, Nicola Salvati
The Nested Error Regression Model with High-Dimensional Parameters (NERHDP) is extended to address challenges in small area poverty estimation. A robust and flexible framework is p…