Poisson mean vector estimation with nonparametric maximum likelihood estimation and application to protein domain data
Author:
Affiliation:
1. Department of Statistics, Sookmyung Women’s University, Seoul, Korea
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability,Statistics, Probability and Uncertainty
Reference34 articles.
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2. BROWN, L. D. and GREENSHTEIN, E. (2009). Nonparametric Empirical Bayes and Compound Decision Approaches to Estimation of a High-Dimensional Vector of Normal Means. The Annals of Statistics 37 1685–1704.
3. BROWN, L. D., GREENSHTEIN, E. and RITOV, Y. (2013). The Poisson Compound Decision Problem Revisited. Journal of the American Statistical Association 108 741–749.
4. CHOI, H., GIM, J., WON, S., KIM, Y. J., KWON, S. and PARK, C. (2017). Network analysis for count data with excess zeros. BMC genetics 18 1–10.
5. CLEVENSON, M. L. and ZIDEK, J. V. (1975). Simultaneous Estimation of the Means of Independent Poisson Laws. Journal of the American Statistical Association 70 698–705.
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