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Dynamic factor process convolution models for multivariate space–time data with application to air quality assessment
14 references·1 citing·41 second hop
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this work references cited by second hop

References

  • 1999Interpolation of Spatial Data2,362 cited
  • 2000Interpolation of Spatial Data: Some Theory for Kriging1,916 cited
  • 1998Bayesian Forecasting and Dynamic Models (2nd edn)670 cited
  • 2000Bayesian Dynamic Factor Models and Portfolio Allocation454 cited
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  • 1998A process-convolution approach to modelling temperatures in the North Atlantic Ocean400 cited
  • 2001Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds336 cited
  • 2004Nonstationary multivariate process modeling through spatially varying coregionalization329 cited
  • 1998Constructing and fitting models for cokriging and multivariable spatial prediction198 cited
  • 1987Spatial objective analysis : with applications in atmospheric science155 cited
  • 2004A Spatiotemporal Model for Mexico City Ozone Levels136 cited
  • 1988Spatial objective analysis: with applications in atmospheric science104 cited
  • 2004Flexible Spatial Models for Kriging and Cokriging Using Moving Averages and the Fast Fourier Transform (FFT)92 cited

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  • 2013Bayesian nonstationary spatial modeling for very large datasets

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73 cited