A Bayesian Spatial Temporal Model of Ozone
作者： Bassirou Sarr , Christina Knudson , Edward Kuhn
DOI:
关键词:
摘要:
参考文章(14)
RS Bivand, Virgilio Gomez-Rubio, EJ Pebesma, Applied Spatial Data Analysis with R. Springer Springer. ,(2008)
Roger S Bivand, Edzer J Pebesma, Virgilio Gómez-Rubio, Edzer Jan Pebesma, None, Applied spatial data analysis with R Springer. ,(2013) , 10.1007/978-1-4614-7618-4
Bradley P. Carlin, Thomas A. Louis, Bayesian Methods for Data Analysis ,(2008)
CHRISTOPHER K. WIKLE, L. MARK BERLINER, NOEL CRESSIE, Hierarchical Bayesian space-time models Environmental and Ecological Statistics. ,vol. 5, pp. 117- 154 ,(1998) , 10.1023/A:1009662704779
Alan E. Gelfand, Bradley P. Carlin, Sudipto Banerjee, Hierarchical Modeling and Analysis for Spatial Data ,(2003)
Louise Camalier, William Cox, Pat Dolwick, The effects of meteorology on ozone in urban areas and their use in assessing ozone trends Atmospheric Environment. ,vol. 41, pp. 7127- 7137 ,(2007) , 10.1016/J.ATMOSENV.2007.04.061
Zhan-Qian Lu, L. Mark Berliner, Markov switching time series models with application to a daily runoff series Water Resources Research. ,vol. 35, pp. 523- 534 ,(1999) , 10.1029/98WR02686
Nancy McMillan, Steven M. Bortnick, Mark E. Irwin, L. Mark Berliner, A hierarchical Bayesian model to estimate and forecast ozone through space and time Atmospheric Environment. ,vol. 39, pp. 1373- 1382 ,(2005) , 10.1016/J.ATMOSENV.2004.10.047
Christopher K. Wikle, L. Mark Berliner, Ralph F. Milliff, Hierarchical Bayesian Approach to Boundary Value Problems with Stochastic Boundary Conditions Monthly Weather Review. ,vol. 131, pp. 1051- 1062 ,(2003) , 10.1175/1520-0493(2003)131<1051:HBATBV>2.0.CO;2
Christopher Chatfield, The Analysis of Time Series: An Introduction ,(2017)