1. Application of wavelets in statistical estimation.
2. Bayes and empirical Bayes estimation.
3. Evaluation of noninformative prior distributions.
4. Estimation of a prior density function or a
deconvolution density function.
5. Estimation of a probability density function.
6. Mean square consistent and unbiased estimation
of functions of parameters.
7. Statistical estimation of locations of lightning
events.
8. Distribution theory.
9. Estimation of probabilities of linear inequalities
and the stress-strength model.