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http://dx.doi.org/10.5351/KJAS.2013.26.4.569

Bayesian Multiple Change-Point Estimation for Single Quantum Dot Luminescence Intensity Data  

Kima, Jaehee (Department of Statistics, Duksung Women's University)
Kimb, Hahkjoon (Department of Chemistry, Duksung Women's University)
Publication Information
The Korean Journal of Applied Statistics / v.26, no.4, 2013 , pp. 569-579 More about this Journal
Abstract
In the field of single-molecule spectroscopy, it is essential to analyze luminescence Intensity changes that result from a single molecule. With the CdSe/ZnS core-shell structured quantum dot photon emission data Bayesian multiple change-point estimation is done with the gamma prior for Poisson parameters and truncated Poisson distribution for the number of change-points.
Keywords
Multiple change-points; single-molecule spectroscopy; Bayesian; truncated Poisson distribution; Poisson count data; SAMC algorithm;
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