Monotone empirical Bayes inference for parameter of exponential distribution

Author(s):  
Juan Huang ◽  
Naiyi Li ◽  
Huaxiang Liu ◽  
Jian Zhang
2015 ◽  
Vol 2015 ◽  
pp. 1-5
Author(s):  
Naiyi Li ◽  
Yuan Li ◽  
Yongming Li ◽  
Yang Liu

This research is based on ranked set sampling. Through the analysis and proof, the empirical Bayes test rule and asymptotical property for the parameter of power distribution are obtained.


Author(s):  
Hau-Tieng Wu ◽  
Tze Leung Lai ◽  
Gabriel G. Haddad ◽  
Alysson Muotri

Herein we describe new frontiers in mathematical modeling and statistical analysis of oscillatory biomedical signals, motivated by our recent studies of network formation in the human brain during the early stages of life and studies forty years ago on cardiorespiratory patterns during sleep in infants and animal models. The frontiers involve new nonlinear-type time–frequency analysis of signals with multiple oscillatory components, and efficient particle filters for joint state and parameter estimators together with uncertainty quantification in hidden Markov models and empirical Bayes inference.


Genetics ◽  
2007 ◽  
Vol 177 (2) ◽  
pp. 861-873 ◽  
Author(s):  
Shuichi Kitada ◽  
Toshihide Kitakado ◽  
Hirohisa Kishino

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