66 citations · 115 across the 26 of their papers we have counts for
4 papers · 1 filter
Quantile Regression Neural Networks: A Bayesian Approach
Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
This article introduces a Bayesian neural network estimation method for quantile regression assuming an asymmetric Laplace distribution (ALD) for the response variable. It is shown…
Nonnegative mean squared prediction error estimation in small area estimation
Soumendra N. Lahiri, Tapabrata Maiti
Small area estimation has received enormous attention in recent years due to its wide range of application, particularly in policy making decisions. The variance based on direct sa…
Resampling Based Empirical Prediction: An Application to Small Area Estimation
Soumendra N. Lahiri, Tapabrata Maiti, Myron Katzoff +1
Best linear unbiased prediction is well known for its wide range of applications including small area estimation. While the theory is well established for mixed linear models and u…
Nonparametric estimation of mean-squared prediction error in nested-error regression models
Peter Hall, Tapabrata Maiti
Nested-error regression models are widely used for analyzing clustered data. For example, they are often applied to two-stage sample surveys, and in biology and econometrics. Predi…