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Publications - Alexandra M. Schmidt

    Journals:

  1. Accounting for spatially varying directional effects in spatial covariance structures, Joaquim H. Vianna Neto, Alexandra M. Schmidt and Peter Guttorp. To appear in Applied Statistics.
  2. Covariance structure of spatial and spatio-temporal processes, Peter Guttorp and Alexandra M. Schmidt. To appear in WIREs Computational Statistics DOI: 10.1002/wics.1259
  3. An efficient sampling scheme for dynamic generalized models,  Helio S. Migon, Alexandra M. Schmidt, Romy R. Ravines, and João B. M. Pereira. To appear in Computational Statistics, DOI:10.1007/s00180-013-0406-9
  4. A hierarchical model for aggregated functional data, Ronaldo Dias, Nancy L. Garcia and Alexandra M. Schmidt. To appear in Technometrics, DOI: 10.1080/00401706.2013.765316
  5. Modelling categorized levels of rainfall, Patricia L. C. Velozo, Mariane B. Alves and Alexandra M. Schmidt. To appear in the Brazilian Journal of Probability and Statistics.
  6. Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models (2012), Hedibert F.Lopes, Alexandra M. Schmidt, Esther Salazar, Mariana Gómez and Marcel Achcar. Annals of Applied Statistics, 6, 1, 284-303. DOI: 10.1214/11-AOAS497.
  7. Evolutionary Markov chain Monte Carlo algorithms for optimal monitoring network designs (2012) Ramiro Ruiz C., Marco A. R. Ferreira and Alexandra M. Schmidt. Statistical Methodology, 9, 185-194. DOI:10.1016/j.stamet.2011.01.009
  8. A class of covariate-dependent spatiotemporal covariance functions (2011), Brian J. Reich, Jo Eidvisk, Michele Guindani, Amy J. Nail and Alexandra M. Schmidt. Annals of Applied Statistics, 5 (4), 2425–2447.DOI: 10.1214/11-AOAS482.
  9. Spatially varying autoregressive processes (2011), Aline A. Nobre, Bruno Sansó and Alexandra M. Schmidt. Technometrics, 53 (3), 310–321.
  10. Considering covariates in the covariance structure of spatial processes (2011), Alexandra M. Schmidt, Peter Guttorp and Anthony O'Hagan. Environmetrics, 22, 487-500, DOI:10.1002/env.1101
  11. Modelling time series of counts in epidemiology  (2011) Alexandra M. Schmidt and João Batista M. Pereira. International Statistical Review, 79, 48-69, DOI: 10.1111/j.1751-5823.2010.00123.x
  12. Stochastic search algorithms for optimal monitoring network designs (2010), Ramiro Ruiz C., Marco A. R. Ferreira and Alexandra M. Schmidt. Environmetrics, 21, 102-112, DOI 10.1002/env.989.
  13. Modelling zero-inflated spatio-temporal processes (2009), Marcus Vinicius Fernandes, Alexandra M. Schmidt and Helio S. Migon. Statistical Modelling, 9(1), 3-25.
  14. Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency (2009), Alexandra M. Schmidt, Ajax R. B. Moreira,  Steven M. Helfand, and Thais C. O. Fonseca. Journal of Productivity Analysis, 31, 101-112.
  15. Investigating the sensitivity of Gaussian  processes to the choice of their correlation function and prior specifications (2008), Alexandra M. Schmidt, Ma. de Fátima ad G. Conceição, Guido A. Moreira.  Journal of Statistical Computation and Simulation, 78, 8, 681-699.
  16. Bayesian Spatio-temporal models based on discrete convolutions (2008), Bruno Sansó, Alexandra M. Schmidt and Aline A. Nobre. Canadian Journal of Statistics, 36, 239-258.
  17. A joint model for rainfall-runoff: the case of Rio Grande Basin (2008), Romy R. Ravines, Alexandra M. Schmidt, Helio S. Migon and Camilo D. Rennó.  Journal of Hydrology, 353, 189-200.
  18. Spatial modelling of the relative risk of dengue fever in Rio de Janeiro for the epidemic period between 2001 and 2002 (2006), Gustavo S. Ferreira and Alexandra M. Schmidt. Brazilian Journal of Probability and Statistics, 20, 1, 29-47.
  19. Revisiting distributed lag models through a Bayesian perspective (2006), Romy R. Ravines, Alexandra M. Schmidt and Helio S. Migon. Applied Stochastic Models in Business and Industry, 22, 2, 193-210.
  20. Spatio-temporal models for mapping the incidence of malaria in Pará (2005), Aline A. Nobre, Alexandra M. Schmidt, and Hedibert F. Lopes.  Environmetrics, 16, 291-304. 
  21. Explaining Species Diversity Through Species Level Hierarchical Modeling (2005), Alan E. Gelfand, Alexandra M. Schmidt, Shanshan Wu, John A. Silander Jr., Andrew Latimer, and Anthony G. Rebelo. Applied Statististics, 54, 1, 1-20.  
  22. Nonstationary Multivariate Process Modeling through Spatially Varying Coregionalization (with discussion)  (2004) Alan E. Gelfand, Alexandra M. Schmidt, Sudipto Banerjee and C.F. Sirmans, TEST, 13, 2, 1-50. 
  23. Bayesian Inference for Nonstationary Spatial Covariance Structures via Spatial Deformations, (2003) Alexandra M. Schmidt and Anthony O'Hagan. Journal of the Royal Statistical Society Series B, 65, 3, 743-758. 
  24. A Bayesian Coregionalization Approach for Multivariate Pollutant Data (2003), Alexandra M. Schmidt and Alan E. Gelfand.  Journal of Geophysical Research-Atmospheres, 108.  
  25. An Adaptive Resampling Scheme for Cycle Estimation, (1999) Alexandra M. Schmidt, Dani Gamerman and Ajax R. B. Moreira, Journal of Applied Statistics, 26, 5, 619-641.  
  26. Hyperparameter Estimation in Forecast Models, (1999) Hedibert Freitas Lopes,  Ajax R. B. Moreira and Alexandra M. Schmidt, Computational Statistics & Data Analysis, 29, 387-410.  
  27. Temporal Aggregation in Dynamic Linear Models, (1997) Alexandra M. Schmidt and Dani Gamerman, Journal of Forecasting,  vol. 16, 293-310.
Book chapters:
  1. Modelling multivariate counts varying continuously in space (2011) Alexandra M. Schmidt and Marco A. Rodríguez, pp. 611-628 in  Bayesian Statistics 9. Oxford: Oxford University Press, editors J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West.
  2. Rejoinder to the discussion of Boys, Farrow and German (2011) Alexandra M. Schmidt and Marco A. Rodríguez, pp. 630-638 in Bayesian Statistics 9. Oxford: Oxford University Press, editors J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West.
  3. Mapping Malaria in the Amazon Rainforest: a Spatio-Temporal Mixture Model (2010), Alexandra M. Schmidt, Jennifer A. Hoeting, João B. M. Pereira and Pedro P. Vieira, in The Oxford Handbook of Applied Bayesian Analysis, eds A. O'Hagan and M. West, Oxford University Press, pp. 90-117.
Invited Discussions:
  1. Discussion of  "An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differentiation approach" , Alexandra M. Schmidt , Journal of the Royal Statistical Society Series B, 73(4), 423-498.
  2. Comment on Article by Craigmile et al., (2009) Alexandra M. Schmidt, Bayesian Analysis, 4, 45 - 54. DOI:10.1214/09-BA401C
  3. Some Further Aspects of Spatio-Temporal Modeling, (2003) Alexandra M. Schmidt. Discussion of the paper  Spatial hierarchical Bayesian models in ecological  applications, Antti Penttinen, Fabio Divino and Anne Riiali,  in Highly Structured Stochastic Systems, edited by P. Green, N. Hjort and S. Richardson, Oxford University Press. 

          Technical Reports :

  1. Comparing deterministic and dynamic models for modelling runoff as a function of rainfall, Josiane S. Cordeiro, Alexandra M. Schmidt, Helio S. Migon and Dirceu S. Reis Jr. Technical Report 2011. Departamento de Métodos Estatísticos, UFRJ.

          PhD Thesis:

  • Bayesian Spatial Interpolation of  Pollution Monitoring Stations, Alexandra M. Schmidt. Unpublished PhD thesis, Department of Probability and Statistics,  University of Sheffield, UK, June 2001.