Spatiotemporal smoothing and sulphur dioxide trends over Europe
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DOI: 10.1111/j.1467-9876.2009.00671.x
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References listed on IDEAS
- I. D. Currie & M. Durban & P. H. C. Eilers, 2006. "Generalized linear array models with applications to multidimensional smoothing," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(2), pages 259-280, April.
- Marx, Brian D. & Eilers, Paul H. C., 1998. "Direct generalized additive modeling with penalized likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 28(2), pages 193-209, August.
- Sudipto Banerjee & Alan E. Gelfand & Andrew O. Finley & Huiyan Sang, 2008. "Gaussian predictive process models for large spatial data sets," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(4), pages 825-848, September.
- Fuentes, Montserrat, 2007. "Approximate Likelihood for Large Irregularly Spaced Spatial Data," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 321-331, March.
- Bowman, A. W. & Azzalini, A., 2003. "Computational aspects of nonparametric smoothing with illustrations from the sm library," Computational Statistics & Data Analysis, Elsevier, vol. 42(4), pages 545-560, April.
- C. A. Ferguson & A. W. Bowman & E. M. Scott & L. Carvalho, 2007. "Model comparison for a complex ecological system," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 691-711, July.
- Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167, October.
- Noel Cressie & Gardar Johannesson, 2008. "Fixed rank kriging for very large spatial data sets," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(1), pages 209-226, February.
- Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506, October.
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Cited by:
- Sotirios Bersimis & Stavros Degiannakis & Dimitrios Georgakellos, 2017.
"Real-time monitoring of carbon monoxide using value-at-risk measure and control charting,"
Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(1), pages 89-108, January.
- Bersimis, Sotirios & Degiannakis, Stavros & Georgakellos, Dimitrios, 2015. "Real Time Monitoring of Carbon Monoxide Using Value-at-Risk Measure and Control Charting," MPRA Paper 65865, University Library of Munich, Germany.
- Gromenko, Oleksandr & Kokoszka, Piotr, 2013. "Nonparametric inference in small data sets of spatially indexed curves with application to ionospheric trend determination," Computational Statistics & Data Analysis, Elsevier, vol. 59(C), pages 82-94.
- David O'Donnell & Alastair Rushworth & Adrian W. Bowman & E. Marian Scott & Mark Hallard, 2014. "Flexible regression models over river networks," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 63(1), pages 47-63, January.
- Alastair M. Rushworth & Adrian W. Bowman & Mark J. Brewer & Simon J. Langan, 2013. "Distributed Lag Models for Hydrological Data," Biometrics, The International Biometric Society, vol. 69(2), pages 537-544, June.
- Mark Livingston & Francesca Pannullo & Adrian W. Bowman & E. Marian Scott & Nick Bailey, 2021. "Exploiting new forms of data to study the private rented sector: Strengths and limitations of a database of rental listings," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 663-682, April.
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