List of Publications

Journals

  • Rejoinder to the Discussion of Genton and Hering, and Huerta and Stroud on Spatio-temporal models for skewed processes, Alexandra M. Schmidt, Kelly Gonçalves, and Patrícia L. Velozo (2017). To appear in Environmetrics
  • Spatio-temporal models for skewed processes, Alexandra M. Schmidt, Kelly Gonçalves, and Patrícia L. Velozo (2017). To appear in Environmetrics with discussion.
  • A Hierarchical Mixture Beta Dynamic Model of School Performance in the Brazilian Mathematical Olympiads for Public Schools, Alexandra M. Schmidt, Caroline P. de Moraes and Helio S. Migon (2017) (Invited by the Editor-in-Chief). Chilean Journal of Statistics, 8, 3-24
  • A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of alpha-stable distributions, Eugenia Koblents, Joaquín Míguez, Marco A. Rodríguez, and Alexandra M. Schmidt (2016). Computational Statistics and Data Analysis, 95, 57-74.
  • Population counts along elliptical habitat contours: hierarchical modelling using Poisson-lognormal mixtures with nonstationary spatial structure, Alexandra M. Schmidt, Marco A. Rodríguez and Estelina S. Capistrano (with Supplementary Material) (2015). Annals of Applied Statistics, 9, 1372-1393.
  • Modelling categorized levels of precipitation, Patricia L. Velozo, Mariane B. Alves and Alexandra M. Schmidt (2014). Brazilian Journal of Probability and Statistics, 28, 2, 190-208.
  • Accounting for spatially varying directional effects in spatial covariance structures, Joaquim H. Vianna Neto, Alexandra M. Schmidt and Peter Guttorp (2014). Journal of the Royal Statistical Society, Series C (Applied Statistics), 63, 1, 102-122.
  • An efficient sampling scheme for dynamic generalized models, Helio S. Migon, Alexandra M. Schmidt, Romy R. Ravines, and João B. M. Pereira (2013). Computational Statistics, 28, 2267-2293.
  • A hierarchical model for aggregated functional data, Ronaldo Dias, Nancy L. Garcia and Alexandra M. Schmidt (2013). Technometrics, 55, 321-334.
  • Covariance structure of spatial and spatio-temporal processes, Peter Guttorp and Alexandra M. Schmidt (2013). WIREs Computational Statistics, 5, 279-287
  • Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models, Hedibert F.Lopes, Alexandra M. Schmidt, Esther Salazar, Mariana Gómez and Marcel Achcar (2012). Annals of Applied Statistics, 6, 1, 284-303.
  • Evolutionary Markov chain Monte Carlo algorithms for optimal monitoring network designs, Ramiro Ruiz C., Marco A. R. Ferreira and Alexandra M. Schmidt (2012). Statistical Methodology, 9, 185-194.
  • A class of covariate-dependent spatiotemporal covariance functions, Brian J. Reich, Jo Eidvisk, Michele Guindani, Amy J. Nail and Alexandra M. Schmidt (2011). Annals of Applied Statistics, 5 (4), 2425–2447.
  • Spatially varying autoregressive processes, Aline A. Nobre, Bruno Sansó and Alexandra M. Schmidt (2011). Technometrics, 53 (3), 310–321
  • Considering covariates in the covariance structure of spatial processes, Alexandra M. Schmidt, Peter Guttorp and Anthony O’Hagan (2011). Environmetrics, 22, 487-500.
  • Modelling time series of counts in epidemiology Alexandra M. Schmidt and João Batista M. Pereira (2011). International Statistical Review, 79, 48-69.
  • Stochastic search algorithms for optimal monitoring network designs, Ramiro Ruiz C., Marco A. R. Ferreira and Alexandra M. Schmidt (2010). Environmetrics, 21, 102-112.
  • Modelling zero-inflated spatio-temporal processes, Marcus Vinicius Fernandes, Alexandra M. Schmidt and Helio S. Migon (2009). Statistical Modelling, 9(1), 3-25
  • Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency, Alexandra M. Schmidt, Ajax R. B. Moreira, Steven M. Helfand, and Thais C. O. Fonseca (2009). Journal of Productivity Analysis, 31, 101-112
  • Investigating the sensitivity of Gaussian processes to the choice of their correlation function and prior specifications, Alexandra M. Schmidt, Ma. de Fátima da G. Conceição, Guido A. Moreira (2008). Journal of Statistical Computation and Simulation, 78, 8, 681-699
  • Bayesian Spatio-temporal models based on discrete convolutions, Bruno Sansó, Alexandra M. Schmidt and Aline A. Nobre (2008). Canadian Journal of Statistics, 36, 239-258
  • A joint model for rainfall-runoff: the case of Rio Grande Basin, Romy R. Ravines, Alexandra M. Schmidt, Helio S. Migon and Camilo D. Rennó (2008). Journal of Hydrology, 353, 189-200
  • Spatial modelling of the relative risk of dengue fever in Rio de Janeiro for the epidemic period between 2001 and 2002, Gustavo S. Ferreira and Alexandra M. Schmidt (2006). Brazilian Journal of Probability and Statistics, 20, 1, 29-47
  • Revisiting distributed lag models through a Bayesian perspective, Romy R. Ravines, Alexandra M. Schmidt and Helio S. Migon (2006). Applied Stochastic Models in Business and Industry, 22, 2, 193-210
  • Spatio-temporal models for mapping the incidence of malaria in Pará, Aline A. Nobre, Alexandra M. Schmidt, and Hedibert F. Lopes (2005). Environmetrics, 16, 291-304
  • Explaining Species Diversity Through Species Level Hierarchical Modeling, Alan E. Gelfand, Alexandra M. Schmidt, Shanshan Wu, John A. Silander Jr., Andrew Latimer, and Anthony G. Rebelo (2005). Journal of the Royal Statistical Society, Series C (Applied Statistics), 54, 1, 1-20
  • Nonstationary Multivariate Process Modeling through Spatially Varying Coregionalization (with discussion), Alan E. Gelfand, Alexandra M. Schmidt, Sudipto Banerjee and C.F. Sirmans (2004). TEST, 13, 2, 1-50
  • Bayesian Inference for Nonstationary Spatial Covariance Structures via Spatial Deformations, Alexandra M. Schmidt and Anthony O’Hagan (2003). Journal of the Royal Statistical Society Series B, 65, 3, 743-758
  • A Bayesian Coregionalization Approach for Multivariate Pollutant Data, Alexandra M. Schmidt and Alan E. Gelfand (2003). Journal of Geophysical Research-Atmospheres, 108
  • An Adaptive Resampling Scheme for Cycle Estimation, Alexandra M. Schmidt, Dani Gamerman and Ajax R. B. Moreira (1999). Journal of Applied Statistics, 26, 5, 619-641
  • Hyperparameter Estimation in Forecast Models, Hedibert Freitas Lopes, Ajax R. B. Moreira and Alexandra M. Schmidt (1999). Computational Statistics & Data Analysis, 29, 387-410
  • Temporal Aggregation in Dynamic Linear Models, Alexandra M. Schmidt and Dani Gamerman (1997). Journal of Forecasting, vol. 16, 293-310

Book chapters

  • Modelling multivariate counts varying continuously in space, Alexandra M. Schmidt and Marco A. Rodríguez (2011), 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
  • Rejoinder to the discussion of Boys, Farrow and German, Alexandra M. Schmidt and Marco A. Rodríguez (2011), 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
  • Mapping Malaria in the Amazon Rainforest: a Spatio-Temporal Mixture Model, Alexandra M. Schmidt, Jennifer A. Hoeting, João B. M. Pereira and Pedro P. Vieira (2010), pp. 90-117 in The Oxford Handbook of Applied Bayesian Analysis, eds A. O’Hagan and M. West, Oxford University Press

Invited Discussions

  • 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
  • Comment on Article by Craigmile et al., (2009) Alexandra M. Schmidt, Bayesian Analysis, 4, 45 - 54.
  • 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 (available upon request)

  • Modelling the kurtosis of spatio-temporal processes, Renata S. Bueno, Thaís C. O . Fonseca and Alexandra M. Schmidt. Technical Report 2017, Depto. de Métodos Estatísticos, UFRJ
  • Hierarchical Dynamic Models for Structurally Nested Biomedical Signals, Josiane Coelho, Alexandra M. Schmidt, Luigi Ippoliti, Helio S. Migon and Arcangelo Merla. Technical Report 2013, 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.

Some Personal Information

I was born in Nova Friburgo, in the state of Rio de Janeiro, Brazil. I’m the result of a mixture between a German father and a Brazilian mother. From 1977 until 1987 I studied at Colegio Anchieta. In 1988 I moved from Nova Friburgo to Rio de Janeiro (also known as the Wonderful City) to get ready to start my undergrad studies. I lived in Rio until 1997.

I lived in England from September 1997 until July 2001 to do my PhD under the supervision of Anthony O’Hagan. There, I lived in Nottingham for one year, then I moved to Sheffield. Soon after finishing my PhD I moved to Connecticut in the USA, where I did a Post-Doc with Alan E. Gelfand.

From 2002 until recently (August 2016) I lived in Rio de Janeiro, Brazil. In August 2016, I followed my heart and moved to Montreal, QC, Canada.

Students

PhD

Current
  • Hiroshi Mamiya (McGill University) Advancing community foodscape assessment: characterizing the interaction between people and food environments using grocery point-of-purchase data (with David Buckeridge and Erica Moodie)
  • Widemberg S. Nobre (Federal University of Rio de Janeiro, Brazil)
  • Estelina S. M. Capistrano (Federal University of Rio de Janeiro, Brazil) Causal inference in hierarhical models (with Erica Moodie)
Former students
  • Renata Bueno (2016) Spatio-temporal models for asymmetric and heavy-tailed processes (with Thais C. O. Fonseca)
  • João Batista M. Pereira (2015) Process convolution models for spatially referenced count data (with Marco A. Rodríguez and Bruno Sansó)
  • Josiane da Silva Cordeiro (2014) Hierarchical models: applications and extensions (with Helio S. Migon)
  • Patrícia L. Velozo (2014) Modeling spatio-temporal asymmetric processes
  • Alexandre Sousa da Silva (2012) Spatio-temporal models for temporally aggregated processes
  • Joaquim Henriques Vianna Neto (2012) Including covariates in the covariance structure of spatial processes
  • Aline Araújo Nobre (2007) Spatially varying AR processes (with Bruno Sansó)
  • Ramiro Ruiz Cárdenas (2007) Optimal monitoring network designs (with Marco A. R. Ferreira)
  • Mariana Gómez (2006) Modelling the vulnerability of some cities of Uruguay to dengue fever (with Ulisses Confalonieri)
  • Romy R. Ravines (2006) An efficient sampling scheme in generalized dynamic models with applications to transfer function models (with Helio S. Migon)

MSc

Current
Former students
  • Widemberg da Silva Nobre (2017) Spatial confounding in hierarchical models (with João B. M. Pereira)
  • Ingrid C. Luquett de Oliveira (2015) Preferential sampling for discrete spatial processes: the Bernoulli and Poisson cases
  • Caroline Ponce de Moraes (2015) An analysis of the performance of Public Schools in the Brazilian Mathematical Olympiads via hierarchical normal and beta models (with Helio S. Migon)
  • Rafael M. Barcellos (2014) Multivariate dynamic linear models applied to the oil refining market
  • Estelina S. M. Capistrano (2012) A hierarchical model for Lévy stochastic processes (with Marco A. Rodríguez)
  • João B. M. Pereira (2010) Models for count data with temporal structure
  • Patricia L. C. Velozo (2009) Models for categorical data with temporal structure
  • Josiane da Silva Cordeiro (2009) Bayesian inference for deterministic models (with Claudio Struchiner)
  • Leonardo C. da Costa (2008) Investigating the inclusion of spatial effects in assymetric models
  • Joaquim H. Vianna Neto (2007) A joint model for mean and variance: an application to the estimation problem in small areas (with Fernando A. S. Moura)
  • Carolina P. Ornelas (2006) Semi-parametric Bayesian models: an application to environmental problems (with Mariane B. Alves)
  • Marcus V. M. Fernandes (2006) Spatio-temporal models for zero-inflated data (with Helio S. Migon)
  • Renata L. Estrella (2005) Analysis of spatially misaligned data
  • Gustavo S. Ferreira (2004) A spatio-temporal analysis of cases of dengue fever in the city of Rio de Janeiro from 1986 until 2002 (with Dani Gamerman)
  • Aline A. Nobre (2003) A spatio-temporal model for the relationship between malaria and rainfall in the state of Pará (with Hedibert Lopes)

Resumé

I have recently (August 2016) moved to the Department of Epidemiology, Biostatistics & Occupational Health at McGill University in Montreal. I am an Associate Professor of Biostatistics.

Prizes and Awards
  • 2017 Distinguished Achievement Medal for the American Statistical Association’s Section on Statistics and the Environment (ENVR)
  • 2010 Elected Member of the International Statistical Institute (ISI)
  • 2008 Abdel El-Shaarawi Young Investigator Award, from The International Environmetrics Society (TIES)
Service
  • 2018 Program Chair Elect of the Section Statistics on the Environment of the American Statistical Association (ENVR)
  • 2014-2016 President-Elect, President, Past-President of the International Society for Bayesian Analysis (ISBA)
  • 2014-2016 Vice-Chair of the Mathematics, Probability and Statistics Committee of Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
  • 2009-2011 Program Chair of the International Society for Bayesian Analysis (ISBA)
  • 2008-2010 President of the Brazilian Chapter (ISBrA) of ISBA
  • 2007-2009 Elected Board Member of ISBA
Editorships of Journals
  • Associate Editor Environmetrics (2010- )
  • Associate Editor STAT (2011- )
  • Associate Editor Scandinavian Journal of Statistics (2012- )
  • Editor of Applications The Brazilian Journal of Probability and Statistics (2012-2014)
Professional Memberships
  • American Statistical Association
  • International Statistical Institute
  • International Society for Bayesian Analysis
  • Statistical Society of Canada
Former Positions
  • 2012-2016 Professor, Department of Statistics, Federal University of Rio de Janeiro, Brazil
  • 2005-2012 Associate Professor, Department of Statistics, Federal University of Rio de Janeiro, Brazil
  • 2002-2005 Assistant Professor, Department of Statistics, Federal University of Rio de Janeiro, Brazil

Teaching

I am a teaching instructor for the following courses at the Department of Epidemiology, Biostatistics and Occupational Health at McGill University:

  • BIOS 612 Advanced generalized linear models
  • EPIB 621 Data analysis in the health sciences

Contact