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Other One-Parameter Models and Their Conjugate Priors
2012You encountered the Poisson distribution in problems at the end of the previous chapter. The Poisson distribution is useful when the random variable is a count of the number of rare events occurring per unit time, unit volume, unit distance, etc. For example, the number of new cases of rhabdomyosarcoma (a rare form of cancer) occurring in Johnson ...
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Posterior Control Chart for Process Average under Conjugate Prior Distribution
, 2014Sharada V. Bhat, Kailas D. Gokhale
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Limiting posterior distributions under mixture of conjugate priors
1996Summary: Suppose the posterior distribution has a limiting distribution with respect to each member of a family of conjugate priors. Subject to a uniform boundedness condition on the prior parameters, the posterior distribution with respect to a mixture of member priors has the same limiting distribution.
Brunner, LJ, Lo, AY
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Bayesian estimation and prediction intervals for a Rayleigh distribution under a conjugate prior
, 2012S. Dey, Tanujit Dey
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A random finite set conjugate prior and application to multi-target tracking
2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2011B. Vo, B. Vo
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IEEE transactions on neural systems and rehabilitation engineering, 2009
J. Chu, Yun-Jung Lee
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J. Chu, Yun-Jung Lee
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Liquid biopsy enters the clinic — implementation issues and future challenges
Nature Reviews Clinical Oncology, 2021Michail Ignatiadis +2 more
exaly
Antibody drug conjugate: the “biological missile” for targeted cancer therapy
Signal Transduction and Targeted Therapy, 2022Sifei Han, Chen Shi, Yu Zhang
exaly

