Using Bayesian hierarchical modelling to produce high resolution maps of air pollution in the EU

G Shaddick, D Kounali, D J Briggs, R Beelen, G Hoek, C de Hoogh, E Pebesma, D Vienneau

Research output: Contribution to journal › Article › peer-review

ID number: ISI:000231783200221

Cite this

@article{9ef1719f1df04a86ad6eb98be1efae28,

title = "Using Bayesian hierarchical modelling to produce high resolution maps of air pollution in the EU",

author = "G Shaddick and D Kounali and Briggs, {D J} and R Beelen and G Hoek and {de Hoogh}, C and E Pebesma and D Vienneau",

note = "ID number: ISI:000231783200221",

year = "2005",

language = "English",

volume = "16",

pages = "S89--S89",

journal = "Epidemiology",

issn = "1044-3983",

publisher = "Lippincott Williams & Wilkins",

number = "5",

}

TY - JOUR

T1 - Using Bayesian hierarchical modelling to produce high resolution maps of air pollution in the EU

AU - Shaddick, G

AU - Kounali, D

AU - Briggs, D J

AU - Beelen, R

AU - Hoek, G

AU - de Hoogh, C

AU - Pebesma, E

AU - Vienneau, D

N1 - ID number: ISI:000231783200221

PY - 2005

Y1 - 2005

M3 - Article

SN - 1044-3983

VL - 16

SP - S89-S89

JO - Epidemiology

JF - Epidemiology

IS - 5

ER -