DOI: 10.1039/d3ja00220a ISSN: 0267-9477
Bayesian estimation to deconvolute single-particle ICP-MS data with a mixed Poisson distribution
Yoshinari Suzuki, Midori Kondo, Masae Harimoto, Yusuke Okamoto, Yu-ki Tanaka, Yasumitsu Ogra, Hiroshi Akiyama- Spectroscopy
- Analytical Chemistry
Model parameters (mean particle-event intensity and frequency, etc.) were directly estimated using the Bayesian method without summing particle-event intensities. Model parameters were transformed to NP information.