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- Jingjing Wu, Rohana J. Karunamuni, Biao Zhang
- J. Multivariate Analysis
- 2010

- R. J. KARUNAMUNI
- 2010

The empirical Bayes approach to multiple decision problems with a sequential decision problem as the component is studied. An empirical Bayes m-truncated sequential decision procedure is exhibited for general multiple decision problems. With a sequential component, an empirical Bayes sequential decision procedure selects both a stopping rule function and a… (More)

- James T. Ding, Rohana J. Karunamuni
- IJMTM
- 2008

- Rohana J. Karunamuni, Jingjing Wu
- Computational Statistics & Data Analysis
- 2011

- James T. Ding, Rohana J. Karunamuni
- ICCSA
- 2003

Consider an experiment yielding an observable random quantity X whose distribution F θ depends on a parameter θ with θ being distributed according to some distribution G 0. We study the Bayesian estimation problem of θ under squared error loss function based on X, as well as some additional data available from other similar experiments according to an… (More)

- Rohana J. Karunamuni, Qingguo Tang, Bangxin Zhao
- Computational Statistics & Data Analysis
- 2015

- Jingjing Wu, Rohana J. Karunamuni
- J. Multivariate Analysis
- 2012

Minimum distance techniques have become increasingly important tools for solving statistical estimation and inference problems. In particular, the successful application of the Hellinger distance approach to fully parametric models is well known. The corresponding optimal estimators, known as minimum Hellinger distance estimators, achieve efficiency at the… (More)

- Rohana J. Karunamuni, Laisheng Wei
- Int. J. Math. Mathematical Sciences
- 2006

We investigate the empirical Bayes estimation problem of multivariate regression coefficients under squared error loss function. In particular, we consider the regression model Y = Xβ + ε, where Y is an m-vector of observations, X is a known m × k matrix, β is an unknown k-vector, and ε is an m-vector of unobservable random variables. The problem is squared… (More)

- Qingguo Tang, Rohana J. Karunamuni
- Computational Statistics & Data Analysis
- 2016