In this paper, we examine approaches to estimate a Bayesian mixture model at both single and multiple time points for a sample of actual and simulated aerosol particle size distribution (PSD) data. For estimation of a mixture model at a single time point, we use Reversible Jump Markov Chain Monte Ca
β¦ LIBER β¦
Development of particle size and composition distributions with a novel aerosol dynamics model
β Scribed by LIISA PIRJOLA; MARKKU KULMALA
- Publisher
- John Wiley and Sons
- Year
- 2001
- Tongue
- English
- Weight
- 898 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0280-6509
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