Alexandra Mello Schmidt

Instituição:

Universidade Federal do Rio de Janeiro

Centro:

Centro de Ciências Matemáticas e da Natureza

Unidade:

Instituto de Matemática

Departamento:

Departamento de Métodos Estatísticos/I Mat

ORCID:

não disponível no Lattes


Formação:
  • University of Connecticut

    | Pós-Doutorado | 2001 - 2002
  • University of Sheffield

    Estatistica | Doutorado | 1997 - 2001
  • Universidade Federal do Rio de Janeiro

    Estatística | Mestrado | 1994 - 1996
  • Universidade Federal do Rio de Janeiro

    Estatistica | Graduação | 1989 - 1993
Laboratórios:
Nenhum laboratório cadastrado
Nuvens de Palavras:
Artigos:

(61.90% artigos com DOI)

Titulo DOI Ano
Spatial confounding in hurdle multilevel beta models: the case of the Brazilian Mathematical Olympics for Public Schools 10.1111/rssa.12551 2020
Flexible spatial covariance functions 10.1016/j.spasta.2020.100416 2020
Healthcare-associated bloodstream infection trends under a provincial surveillance program 10.1017/ice.2018.357 2019
Bayesian estimation of the average treatment effect on the treated using inverse weighting 10.1002/sim.8121 2019
Joint Modeling of Resistance to Six Antimicrobials in Urinary Isolates in Quebec, Canada 10.1128/AAC.02531-18 2019
An Area-Level Indicator of Latent Soda Demand: Spatial Statistical Modeling of Grocery Store Transaction Data to Characterize the Nutritional Landscape in Montreal, Canada 10.1093/aje/kwz115 2019
Longitudinal evaluation of a household energy package on blood pressure, central hemodynamics, and arterial stiffness in China 10.1016/j.envres.2019.108592 2019
Fluoroquinolone Use and Seasonal Patterns of Ciprofloxacin Resistance in Community-Acquired Urinary Escherichia coli Infection in a Large Urban Center 10.1093/aje/kwz239 2019
A Hierarchical Mixture Beta Dynamic Model of School Performance in the Brazilian Mathematical Olympiads for Public Schools 2017
Spatiotemporal models for skewed processes 10.1002/env.2411 2017
Accounting for covariate information in the scale component of spatio-temporal mixing models 10.1016/j.spasta.2017.09.003 2017
A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of alpha-stable distributions 2016
Population counts along elliptical habitat contours: Hierarchical modeling using Poisson-lognormal mixtures with nonstationary spatial structure 10.1214/15-AOAS838 2015
Modelling categorized levels of precipitation 2014
Accounting for spatially varying directional effects in spatial covariance structures 10.1111/rssc.12027 2014
A Hierarchical Model for Aggregated Functional Data 10.1080/00401706.2013.765316 2013
An efficient sampling scheme for dynamic generalized models 10.1007/s00180-013-0406-9 2013
Covariance structure of spatial and spatiotemporal processes 10.1002/wics.1259 2013
Evolutionary Markov chain Monte Carlo algorithms for optimal monitoring network designs 10.1016/j.stamet.2011.01.009 2012
Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models 10.1214/11-AOAS497 2012
Considering covariates in the covariance structure of spatial processes 10.1002/env.1101 2011
Spatially Varying Autoregressive Processes 10.1198/TECH.2011.10008 2011
Modelling Time Series of Counts in Epidemiology 10.1111/j.1751-5823.2010.00123.x 2011
A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration 10.1214/11-AOAS482 2011
Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency 10.1007/s11123-008-0122-6 2009
Modelling zero-inflated spatio-temporal processes 10.1177/1471082x0800900102 2009
Comment on article by Craigmile et al. 2009
Stochastic search algorithms for optimal design of monitoring networks 10.1002/env.989 2009
Investigating the sensitivity of Gaussian processes to the choice of their correlation function and prior specifications 10.1080/00949650701231983 2008
Bayesian Spatio-temporal models based on discrete convolutions 2008
A joint model for rainfall-runoff: the case of Rio Grande Basin 10.1016/j.jhydrol.2008.02.008 2008
Revisting Distributed lag models through a Bayesian perspective 2006
Spatial Modelling of the Relative Risk of Dengue Fever in Rio de Janeiro for the epidemic period between 2001 and 2002 2006
Explaining Species Diversity Through Species Level Hierarchical Modeling 2005
Spatio-temporal models for mapping the incidence of malaria in Pará 2005
Nonstationary Multivariate Process Modeling through Spatially Varying Coregionalization (with discussion) 2004
Bayesian Inference for Nonstationary Spatial Covariance Structures via Spatial Deformations 2003
A Bayesian Coregionalization Approach for Multivariate Pollutant Data 2003
Alguns Aspectos da Modelagem de Dados Espacialmente Referenciados 2002
An adaptive resampling scheme for cycle estimation 1999
Hyperparameter estimation in forecast models 1999
Temporal aggregation in dynamic linear models 1997
Eventos:

(0.00% eventos com DOI)

Titulo DOI Ano
Modelling zero-inflated spatio-temporal processes 2006
A Bayesian Approach for the rainfall-runoff problem 2006
Modelos Bayesianos Semi-Parametricos 2006
Spatially varying autoregressive models using discrete spatial convolutions 2006
Fronteira de Producão Espacial Estocástica 2006
Algoritmos MCMC Evolucionários para o Desenho Ótimo de Redes de Monitoramento 2006
Stochastic search algorithms for optimal monitoring network designs 2006
Evolutionary Markov chain Monte Carlo Algorithms for optimal network designs 2006
A Bayesian approach for the rainfall-runoff problem: the case of Rio Grande Basin 2006
Modelos bayesianos semi-parametricos: uma aplicacao a dados de saude e meio ambiente 2006
Spatio-Temporal Models Based on Spatial Discrete Convolutions 2005
Desalinhamento de variáveis em dados espacialmente referenciados 2005
Modelos Espaco-Temporais com Excesso de Zeros 2005
Spatio-temporal models based on spatial discrete convolutions 2005
Spatio-temporal models based on discrete convolutions 2004
Spatio-temporal Models based on Discrete Convolutions 2004
Comparação de Algoritmos para o Desenvolvimento Ótimo de Redes de Monitoramento 2004
Modelos Bayesianos de Coregionalização Linear com Dados Faltantes 2004
Spatio-temporal models based on spatial convolutions 2004
Investigando a sensibilidade dos processos Gaussianos à especificação da função de correlação e distribuições a priori dos seus parâmetros 2004
Investigando Similaridades entre os Estados Brasileiros a partir de Variáveis Sócio-Econômicas e Epidemiológicas 2004
Investigando Similaridades entre os Estados Brasileiros a partir de Variáveis Sócio-Econômicas e Epidemiológicas 2004
Uma Análise Espacial dos Riscos de Dengue na Cidade do Rio de Janeiro no Período Epidêmico 2001-2002 2004
Explaining Species Diversity Through Species Level Hierarchical Modeling 2003
Multivariate spatial processes models: conditional and unconditional Bayesian approaches using coregionalization 2003
Explaining Species Diversity Through Species Level Hierarchical Modeling 2002
Modeling Multivariate Spatial Processes 2002
Bayesian Inference for Nonstationary Spatial Covariance Structure via Spatial Deformations 2001
Bayesian Inference for Nonstationary Spatial Covariance Structure via Spatial Deformations 2000
Bayesian Inference for Nonstationary Spatial Covariance Structure via Spatial Deformations 2000
Bayesian Inference for Non-Stationary Spatial Covariance Structure via Spatial Deformations 2000
Some Further Aspects of Spatio-Temporal Modeling 2000
Bayesian Spatial Interpolation of Pollution Monitoring Stations 1999
An Adaptive Resampling Scheme for Cycle Estimation 1998
Temporal Aggregation in Dynamic Linear Models 1996
Temporal Aggregation in Dynamic Linear Models 1996
Modelos Dinamicos Bayesianos Sazonais: uma aplicacao as componentes do indice de precos da FIPE 1996
Organizacao do Trabalho e Saude Mental: estudo das relacoes entre a prevalencia de doencas mentais e a organizacao do trabalho bancario no municipio do Rio de Janeiro 1992
Publicações:
Minha Rede: