A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution.
Saved in:
| Title: | A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution. |
|---|---|
| Authors: | Baerenbold O; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health Imperial College London UK., Meis M; Department of Atmospheric and Oceanic Sciences Consejo Nacional de Investigaciones Cientinficas y Tecnologicas (CONICET), Centro del Mar y la Atmósfera y los Océanos (CIMA-UBA-CONICET), Universidad de Buenos Aires Buenos Aires Argentina., Martínez-Hernández I; Department of Mathematics and Statistics Lancaster University Lancaster UK., Euán C; Department of Mathematics and Statistics Lancaster University Lancaster UK., Burr WS; Department of Mathematics Trent University Peterborough Ontario Canada., Tremper A; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health Imperial College London UK., Fuller G; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health Imperial College London UK., Pirani M; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health Imperial College London UK., Blangiardo M; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health Imperial College London UK. |
| Source: | Environmetrics [Environmetrics] 2023 Feb; Vol. 34 (1), pp. e2763. Date of Electronic Publication: 2022 Sep 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 100968246 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1180-4009 (Print) Linking ISSN: 1099095X NLM ISO Abbreviation: Environmetrics Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1180-4009 |
|---|---|
| DOI: | 10.1002/env.2763 |
