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A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution.

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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
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  Data: <searchLink fieldCode="AU" term="%22Baerenbold+O%22">Baerenbold O</searchLink>; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health Imperial College London UK.<br /><searchLink fieldCode="AU" term="%22Meis+M%22">Meis M</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Martínez-Hernández+I%22">Martínez-Hernández I</searchLink>; Department of Mathematics and Statistics Lancaster University Lancaster UK.<br /><searchLink fieldCode="AU" term="%22Euán+C%22">Euán C</searchLink>; Department of Mathematics and Statistics Lancaster University Lancaster UK.<br /><searchLink fieldCode="AU" term="%22Burr+WS%22">Burr WS</searchLink>; Department of Mathematics Trent University Peterborough Ontario Canada.<br /><searchLink fieldCode="AU" term="%22Tremper+A%22">Tremper A</searchLink>; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health Imperial College London UK.<br /><searchLink fieldCode="AU" term="%22Fuller+G%22">Fuller G</searchLink>; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health Imperial College London UK.<br /><searchLink fieldCode="AU" term="%22Pirani+M%22">Pirani M</searchLink>; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health Imperial College London UK.<br /><searchLink fieldCode="AU" term="%22Blangiardo+M%22">Blangiardo M</searchLink>; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health Imperial College London UK.
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              Text: 2023 Feb
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