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Joint projections of North Pacific sea surface temperature from different global climate models

Guttorp, Peter; Sain, Stephan R.; Wikle, Christopher K.; … - In: Environmetrics 23 (2012) 5, pp. 451-465

Persistent link: https://www.econbiz.de/10011005262

A Spatio-Temporal Model for Mean, Anomaly, and Trend Fields of North Atlantic Sea Surface Temperature

Lemos, Ricardo T.; Sansó, Bruno - In: Journal of the American Statistical Association : JASA 104 (2009) 485, pp. 5-17

Persistent link: https://www.econbiz.de/10008240495

A Spatio-Temporal Model for Mean, Anomaly, and Trend Fields of North Atlantic Sea Surface Temperature

Lemos, Ricardo T.; Sansó, Bruno - In: Journal of the American Statistical Association 104 (2009) 485, pp. 5-18

Persistent link: https://www.econbiz.de/10004982714

Spatiotemporal modelling using integro‐difference equations with bivariate stable kernels

Richardson, Robert; Kottas, Athanasios; Sansó, Bruno - In: Journal of the Royal Statistical Society: Series B … 82 (2020) 5, pp. 1371-1392

Persistent link: https://www.econbiz.de/10012410758

Optimal Bayesian design by inhomogeneous Markov chain simulation

Müller, Peter; Sansó, Bruno; De Iorio, Maria - In: Journal of the American Statistical Association : JASA 99 (2004) 467, pp. 788-798

Persistent link: https://www.econbiz.de/10002242210

Inference for a proton accelerator using convolution models

Lee, Herbert K. H.; Sansó, Bruno; Zhou, Weining; … - In: Journal of the American Statistical Association : JASA 103 (2008) 482, pp. 604-613

Persistent link: https://www.econbiz.de/10003751869

Venezuelan Rainfall Data Analysed by Using a Bayesian Space-time Model

Sansó, Bruno; Guenni, Lelys - In: Journal of the Royal Statistical Society Series C 48 (1999) 3, pp. 345-362

Persistent link: https://www.econbiz.de/10005309436

A spatiotemporal model for Mexico City ozone levels

Huerta, Gabriel; Sansó, Bruno; Stroud, Jonathan R. - In: Journal of the Royal Statistical Society Series C 53 (2004) 2, pp. 231-248

We consider hourly readings of concentrations of ozone over Mexico City and propose a model for spatial as well as temporal interpolation and prediction. The model is based on a time-varying regression of the observed readings on air temperature. Such a regression requires interpolated values of...

Persistent link: https://www.econbiz.de/10005217121

A spatiotemporal model for Mexico City ozone levels

Huerta, Gabriel; Sansó, Bruno; Stroud, Jonathan R. - In: Journal of the Royal Statistical Society / C 53 (2004) 2, pp. 231-248

Persistent link: https://www.econbiz.de/10008214833

Inference for a Proton Accelerator Using Convolution Models

Lee, Herbert K.H.; Sansó, Bruno; Zhou, Weining; … - In: Journal of the American Statistical Association : JASA 103 (2008) 482, pp. 604-613

Persistent link: https://www.econbiz.de/10008083847