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Other One-Parameter Models and Their Conjugate Priors

2012
You 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 ...
openaire   +1 more source

Limiting posterior distributions under mixture of conjugate priors

1996
Summary: 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
openaire   +1 more source

A random finite set conjugate prior and application to multi-target tracking

2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2011
B. Vo, B. Vo
semanticscholar   +1 more source

Conjugate-Prior-Penalized Learning of Gaussian Mixture Models for Multifunction Myoelectric Hand Control

IEEE transactions on neural systems and rehabilitation engineering, 2009
J. Chu, Yun-Jung Lee
semanticscholar   +1 more source

Cervical cancer screening for individuals at average risk: 2020 guideline update from the American Cancer Society

Ca-A Cancer Journal for Clinicians, 2020
Timothy R Church   +2 more
exaly  

Liquid biopsy enters the clinic — implementation issues and future challenges

Nature Reviews Clinical Oncology, 2021
Michail Ignatiadis   +2 more
exaly  

Antibody drug conjugate: the “biological missile” for targeted cancer therapy

Signal Transduction and Targeted Therapy, 2022
Sifei Han, Chen Shi, Yu Zhang
exaly  

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