Bayesian inference for non-stationary spatial covariance structure via spatial deformationsSCHMIDT, Alexandra M; O'HAGAN, Anthony.Journal of the Royal Statistical Society. Series B, statistical methodology. 2003, Vol 65, pp 743-758, issn 1369-7412, 16 p., 3Article

Modelling Time Series of Counts in EpidemiologySCHMIDT, Alexandra M; PEREIRA, Joao Batista M.International statistical review. 2011, Vol 79, Num 1, pp 48-69, issn 0306-7734, 22 p.Article

A Bayesian coregionalization approach for multivariate pollutant data : Application of recent advances in space-time statistics to atmospheric dataSCHMIDT, Alexandra M; GELFAND, Alan E.Journal of geophysical research. 2003, Vol 108, Num D24, pp STS10.1-STS10.8, issn 0148-0227Article

Spatially Varying Autoregressive ProcessesNOBRE, Aline A; SANSO, Bruno; SCHMIDT, Alexandra M et al.Technometrics. 2011, Vol 53, Num 3, pp 310-321, issn 0040-1706, 12 p.Article

A CLASS OF COVARIATE-DEPENDENT SPATIOTEMPORAL COVARIANCE FUNCTIONS FOR THE ANALYSIS OF DAILY OZONE CONCENTRATIONREICH, Brian J; EIDSVIK, J. O; GUINDANI, Michele et al.The Annals of applied statistics. 2011, Vol 5, Num 4, pp 2425-2447, issn 1932-6157, 23 p.Article

Spatio-temporal models for mapping the incidence of malaria in ParáNOBRE, Aline A; SCHMIDT, Alexandra M; LOPES, Hedibert F et al.EnvironMetrics (London, Ont.). 2005, Vol 16, Num 3, pp 291-304, issn 1180-4009, 14 p.Article

A joint model for rainfall-runoff : The case of Rio Grande BasinRAVINES, Romy R; SCHMIDT, Alexandra M; MIGON, Helio S et al.Journal of hydrology (Amsterdam). 2008, Vol 353, Num 1-2, pp 189-200, issn 0022-1694, 12 p.Article

Modelling species diversity through species level hierarchical modellingGELFAND, Alan E; SCHMIDT, Alexandra M; SHANSHAN WU et al.Applied statistics. 2005, Vol 54, pp 1-20, issn 0035-9254, 20 p., 1Article