Application of air quality combination forecasting to Bogota Westerlund, Joakim, Urbain, Jean-Pierre and Bonilla, Jorge 2014, Application of air quality combination forecasting to Bogota, Atmospheric environment, vol. 89, pp. 22-28, doi: 10.1016/j.atmosenv.2014.02.015. Attached Files Name Description MIMEType Size Downloads Title Application of air quality combination forecasting to Bogota Author(s) Westerlund, Joakim orcid.org/0000-0002-8030-5706 Urbain, Jean-Pierre Bonilla, Jorge Journal name Atmospheric environment Volume number 89 Start page 22 End page 28 Total pages 7 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2014-06 ISSN 1352-2310 1873-2844 Keyword(s) Air quality forecasting Bogota Forecast combination Neural networks Science & Technology Life Sciences & Biomedicine Physical Sciences Environmental Sciences Meteorology & Atmospheric Sciences Environmental Sciences & Ecology MISSING VALUES POLLUTION IMPUTATION GREECE MODEL SO2 Summary The bulk of existing work on the statistical forecasting of air quality is based on either neural networks or linear regressions, which are both subject to important drawbacks. In particular, while neural networks are complicated and prone to in-sample overfitting, linear regressions are highly dependent on the specification of the regression function. The present paper shows how combining linear regression forecasts can be used to circumvent all of these problems. The usefulness of the proposed combination approach is verified using both Monte Carlo simulation and an extensive application to air quality in Bogota, one of the largest and most polluted cities in Latin America. © 2014 Elsevier Ltd. Language eng DOI 10.1016/j.atmosenv.2014.02.015 Field of Research 150202 Financial Econometrics Socio Economic Objective 919999 Economic Framework not elsewhere classified HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2014, Elsevier Persistent URL http://hdl.handle.net/10536/DRO/DU:30077708 Document type: Journal Article Collections: Faculty of Business and Law School of Accounting, Economics and Finance Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 31 Aug 2015, 16:40:33 EST Mon, 07 Sep 2015, 14:40:45 EST Tue, 08 Sep 2015, 05:01:54 EST Tue, 08 Sep 2015, 06:11:28 EST Wed, 23 Sep 2015, 13:07:15 EST Fri, 25 Sep 2015, 13:50:04 EST Filtered Full Citation counts:   Cited 12 times in TR Web of Science Cited 17 times in Scopus Search Google Scholar Access Statistics: 385 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Mon, 07 Sep 2015, 14:40:45 EST

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