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Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression
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2024
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Xiaoxu Chen
Zhanhong Cheng
Alexandra M. Schmidt
Lijun Sun
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A nationwide joint spatial modelling of simultaneous epidemics of dengue, chikungunya, and Zika in Colombia
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2024
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LaĂs Picinini Freitas
Mabel CarabalĂ
Alexandra M. Schmidt
Jorge Emilio Salazar FlĂłrez
Brayan Ăvila Monsalve
CĂ©sar GarcĂa Balaguera
Berta Nelly Restrepo
Gloria Isabel Jaramillo
Kate Zinszer
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Markov switching zero-inflated space-time multinomial models for
comparing multiple infectious diseases
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2024
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Dirk DouwesâSchultz
Alexandra M. Schmidt
LaĂs Picinini Freitas
MarĂlia SĂĄ Carvalho
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Model-Based Prediction for Small Domains Using Covariates: A Comparison of Four Methods
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2024
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Victoire Michal
Jonathan Wakefield
Alexandra M. Schmidt
Alicia Cavanaugh
Brian E. Robinson
Jill Baumgartner
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A Joint Temporal Model for Hospitalizations and ICU Admissions Due to COVIDâ19 in Quebec
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2024
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Mariana CarmonaâBaez
Alexandra M. Schmidt
Shirin Golchi
David L. Buckeridge
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Mapping socio-economic status using mixed data: a hierarchical Bayesian approach
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2024
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Gabrielle Virgili-Gervais
Alexandra M. Schmidt
Honor Bixby
Alicia Cavanaugh
George Owusu
Samuel AgyeiâMensah
Brian E. Robinson
Jill Baumgartner
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A Bayesian nonâstationary heteroskedastic time series model for multivariate critical care data
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2024
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Zayd Omar
David A. Stephens
Alexandra M. Schmidt
David L. Buckeridge
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On the PM2.5 -- Mortality Relationship: A Bayesian Dynamic Model for
Spatio-Temporal Confounding
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2024
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Carlo Zaccardi
Pasquale Valentini
Luigi Ippoliti
Alexandra M. Schmidt
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Zika emergence, persistence, and transmission rate in Colombia: a nationwide application of a space-time Markov switching model
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2024
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LaĂs Picinini Freitas
Dirk DouwesâSchultz
Alexandra M. Schmidt
Brayan Ăvila Monsalve
Jorge Emilio Salazar FlĂłrez
CĂ©sar GarcĂa Balaguera
Berta Nelly Restrepo
Gloria Isabel Jaramillo
Mabel CarabalĂ
Kate Zinszer
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A spatio-temporal model to detect potential outliers in disease mapping
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2024
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Victoire Michal
Alexandra M. Schmidt
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PDF
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Regularized Principal Spline Functions to Mitigate Spatial Confounding
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2024
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Carlo Zaccardi
Pasquale Valentini
Luigi Ippoliti
Alexandra M. Schmidt
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Computational Considerations for the Linear Model of Coregionalization
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2024
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Renaud Alie
David A. Stephens
Alexandra M. Schmidt
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Modeling left-censored skewed spatial processes: The case of arsenic drinking water contamination
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2024
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Qi Zhang
Alexandra M. Schmidt
Yogendra P. Chaubey
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SpatioâTemporal Methods in Environmental Epidemiology with R
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2023
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Gavin Shaddick
James V. Zidek
Alexandra M. Schmidt
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Bayesian modeling of dynamic behavioral change during an epidemic
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2023
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Caitlin Ward
Rob Deardon
Alexandra M. Schmidt
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Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto
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2023
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Sara ZapataâMarin
Alexandra M. Schmidt
Scott Weichenthal
Ăric Lavigne
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Zika epidemic in Colombia and environmental and sociodemographic contributors: an application of a space-time Markov switching model
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2023
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LaĂs Picinini Freitas
Dirk DouwesâSchultz
Alexandra M. Schmidt
Brayan Ăvila Monsalve
Jorge Emilio Salazar FlĂłrez
CĂ©sar GarcĂa Balaguera
Berta Nelly Restrepo
Gloria Isabel Jaramillo
Mabel CarabalĂ
Kate Zinszer
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PDF
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The impact of directly observed therapy on the efficacy of Tuberculosis treatment: a Bayesian multilevel approach
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2023
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Widemberg S. Nobre
Alexandra M. Schmidt
Erica E. M. Moodie
David A. Stephens
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Dynamical non-Gaussian modelling of spatial processes
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2023
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ThaĂs C. O. Fonseca
Viviana G. R. Lobo
Alexandra M. Schmidt
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A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions
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2023
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Dirk DouwesâSchultz
Alexandra M. Schmidt
Yan Shen
David L. Buckeridge
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A Bayesian Non-Stationary Heteroskedastic Time Series Model for Multivariate Critical Care Data
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2023
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Zayd Omar
David A. Stephens
Alexandra M. Schmidt
David L. Buckeridge
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The impact of directly observed therapy on the efficacy of Tuberculosis treatment: A Bayesian multilevel approach
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2023
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Widemberg S. Nobre
Alexandra M. Schmidt
Erica E. M. Moodie
David A. Stephens
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Small Area Estimation with Random Forests and the LASSO
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2023
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Victoire Michal
Jon Wakefield
Alexandra M. Schmidt
Alicia Cavanaugh
Brian E. Robinson
Jill Baumgartner
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A Comparison between Markov Switching Zero-inflated and Hurdle Models for Spatio-temporal Infectious Disease Counts
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2023
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Mingchi Xu
Dirk DouwesâSchultz
Alexandra M. Schmidt
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PDF
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Extended Bayesian endemicâepidemic models to incorporate mobility data into COVIDâ19 forecasting
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2022
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Dirk DouwesâSchultz
Shuo Sun
Alexandra M. Schmidt
Erica E. M. Moodie
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Causal Inference Under Mis-Specification: Adjustment Based on the Propensity Score (with Discussion)
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2022
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David A. Stephens
Widemberg S. Nobre
Erica E. M. Moodie
Alexandra M. Schmidt
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A Poisson-multinomial spatial model for simultaneous outbreaks with application to arboviral diseases
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2022
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Alexandra M. Schmidt
LaĂs Picinini Freitas
Oswaldo Gonçalves Cruz
MarĂlia SĂĄ Carvalho
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Discussion on âSpatial+: a novel approach to spatial confoundingâ by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
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2022
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Alexandra M. Schmidt
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Zero-State Coupled Markov Switching Count Models for Spatio-Temporal Infectious Disease Spread
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2022
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Dirk DouwesâSchultz
Alexandra M. Schmidt
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A joint spatial marked point process model for dengue and severe dengue in Medellin, Colombia
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2022
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Mabel CarabalĂ
Alexandra M. Schmidt
Berta Nelly Restrepo
Jay S. Kaufman
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On Data Augmentation in Point Process Models Based on Thinning Procedures
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2022
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Renaud Alie
David A. Stephens
Alexandra M. Schmidt
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Causal inference under mis-specification: adjustment based on the propensity score
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2022
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David A. Stephens
Widemberg S. Nobre
Erica E. M. Moodie
Alexandra M. Schmidt
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Bayesian Modeling of Dynamic Behavioral Change During an Epidemic
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2022
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Caitlin Ward
Rob Deardon
Alexandra M. Schmidt
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A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects.
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2021
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Victoire Michal
LaĂs Picinini Freitas
Alexandra M. Schmidt
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PDF
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A joint spatial marked point process model for dengue and severe dengue in Medellin, Colombia
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2021
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Mabel CarabalĂ
Alexandra M. Schmidt
Berta Nelly Restrepo
Jay S. Kaufman
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PDF
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Spatio-temporal modelling of the first Chikungunya epidemic in an intra-urban setting: The role of socioeconomic status, environment and temperature
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2021
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LaĂs Picinini Freitas
Alexandra M. Schmidt
William Cossich
Oswaldo Gonçalves Cruz
MarĂlia SĂĄ Carvalho
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A Zero-State Coupled Markov Switching Poisson Model for Spatio-temporal Infectious Disease Counts
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2021
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Dirk DouwesâSchultz
Alexandra M. Schmidt
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A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects
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2021
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Victoire Michal
LaĂs Picinini Freitas
Alexandra M. Schmidt
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+
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Dynamical non-Gaussian modelling of spatial processes
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2021
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ThaĂs C. O. Fonseca
Viviana G. R. Lobo
Alexandra M. Schmidt
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The role of case importation in explaining differences in early SARS-CoV-2 transmission dynamics in CanadaâA mathematical modeling study of surveillance data
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2020
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Arnaud Godin
Yiqing Xia
David L. Buckeridge
Sharmistha Mishra
Dirk DouwesâSchultz
Yannan Shen
Maxime Lavigne
MĂ©lanie Drolet
Alexandra M. Schmidt
Marc Brisson
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On the Effects of Spatial Confounding in Hierarchical Models
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2020
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Widemberg S. Nobre
Alexandra M. Schmidt
JoĂŁo Batista Pereira
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PDF
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Spatio-temporal modelling of the first Chikungunya epidemic in an intra-urban setting: the role of socioeconomic status, environment and temperature
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2020
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LaĂs Picinini Freitas
Alexandra M. Schmidt
William Cossich
Oswaldo Gonçalves Cruz
MarĂlia SĂĄ Carvalho
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Spatial Confounding in Hurdle Multilevel Beta Models: the Case of the Brazilian Mathematical Olympics for Public Schools
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2020
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JoĂŁo Batista Pereira
Widemberg S. Nobre
Igor F. L. Silva
Alexandra M. Schmidt
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Bayesian estimation of the average treatment effect on the treated using inverse weighting
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2019
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Estelina S. M. Capistrano
Erica E. M. Moodie
Alexandra M. Schmidt
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Dynamic models
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2019
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Alexandra M. Schmidt
Hedibert F. Lopes
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Mapping malaria in the Amazon rain forest: A spatio-temporal mixture model
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2018
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Alexandra M. Schmidt
Jennifer A. Hoeting
JoĂŁo Batista Pereira
Pedro Paulo Vieira
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Conditional Autoregressive (<scp>CAR</scp>) Model
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2018
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Alexandra M. Schmidt
Widemberg S. Nobre
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PDF
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Accounting for covariate information in the scale component of spatio-temporal mixing models
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2017
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Renata S. Bueno
ThaĂs C. O. Fonseca
Alexandra M. Schmidt
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Authors' rejoinder to the discussion comments of Genton and Hering, and Huerta and Stroud
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2017
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Alexandra M. Schmidt
Kelly C. M. Gonçalves
PatrĂcia L. Velozo
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Spatiotemporal models for skewed processes
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2016
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Alexandra M. Schmidt
Kelly C. M. Gonçalves
PatrĂcia L. Velozo
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PDF
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Dendronized mesoporous silica nanoparticles provide an internal endosomal escape mechanism for successful cytosolic drug release
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2016
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Veronika WeiĂ
Christian Argyo
Adriano A. Torrano
Claudia Strobel
Stephan A. Mackowiak
Alexandra M. Schmidt
Stefan Datz
Tim Gatzenmeier
Ingrid Hilger
Christoph BrÀuchle
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Immune response to functionalized mesoporous silica nanoparticles for targeted drug delivery
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2015
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Simon Heidegger
DorothĂ©e GöĂl
Alexandra M. Schmidt
Stefan Niedermayer
Christian Argyo
Stefan Endres
Thomas Bein
Carole Bourquin
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A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.gif" display="inline" overflow="scroll"><mml:mi>α</mml:mi></mml:math>-stable distributions
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2015
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Eugenia Koblents
JoaquıÌn MıÌguez
Marco A. RodrĂguez
Alexandra M. Schmidt
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A Hierarchical Dynamic Beta Regression Model of School Performance in the Brazilian Mathematical Olympiads for Public Schools
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2015
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Alexandra M. Schmidt
Caroline P. de Moraes
HĂ©lio S. Migon
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Population counts along elliptical habitat contours: hierarchical modelling using Poisson-lognormal mixtures with nonstationary spatial structure
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2015
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Alexandra M. Schmidt
Marco A. RodrĂguez
Estelina S. Capistrano
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A Hierarchical Dynamic Beta Regression Model of School Performance in the Brazilian Mathematical Olympiads for Public Schools
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2015
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Alexandra M. Schmidt
Caroline P. de Moraes
HĂ©lio S. Migon
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PDF
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Accounting for Spatially Varying Directional Effects in Spatial Covariance Structures
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2013
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Joaquim Henriques Vianna Neto
Alexandra M. Schmidt
Peter Guttorp
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An efficient sampling scheme for dynamic generalized models
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2013
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HĂ©lio S. Migon
Alexandra M. Schmidt
Romy E. R. Ravines
JoĂŁo Batista Pereira
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PDF
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A Hierarchical Model for Aggregated Functional Data
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2013
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Ronaldo Dias
Nancy L. Garcia
Alexandra M. Schmidt
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Accounting for spatially varying directional effects in spatial covariance structures
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2012
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Joaquim Henriques Vianna Neto
Alexandra M. Schmidt
Peter Guttorp
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Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models
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2012
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Hedibert F. Lopes
Alexandra M. Schmidt
Esther Salazar
Mariana GĂłmez
Marcel Achkar
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Accounting for spatially varying directional effects in spatial covariance structures
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2012
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Joaquim Henriques Vianna Neto
Alexandra M. Schmidt
Peter Guttorp
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A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration
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2011
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Brian J. Reich
Jo Eidsvik
Michele Guindani
Amy Jeanette Nail
Alexandra M. Schmidt
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Modelling Multivariate Counts Varying Continuously in Space*
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2011
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Alexandra M. Schmidt
Marco A. RodrĂguez
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+
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Supplement: Spatially Varying Autoregressive Processes
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2011
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Aline AraĂșjo Nobre
Bruno SansĂł
Alexandra M. Schmidt
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A Hierarchical Model for Aggregated Functional Data
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2011
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Ronaldo Dias
Nancy L. Garcia
Alexandra M. Schmidt
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+
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Modelling Time Series of Counts in Epidemiology
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2011
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Alexandra M. Schmidt
JoĂŁo Batista Pereira
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+
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A Hierarchical Model for Aggregated Functional Data
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2011
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Ronaldo Dias
Nancy L. Garcia
Alexandra M. Schmidt
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IDENTIFIABILITY OF SKEW ELLIPTICAL DISTRIBUTIONS ARISING FROM SELECTIONS AND THEIR APPLICATIONS IN STATISTICAL MODELLING
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2010
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Alexandra M. Schmidt
Victor Hugo Branco Marcia Lachos Davila
Dipankar Bandyopadhyay
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Comment on article by Craigmile et al.
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2009
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Alexandra M. Schmidt
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Modelling zero-inflated spatio-temporal processes
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2009
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Marcus VM Fernandes
Alexandra M. Schmidt
HĂ©lio S. Migon
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Investigating the sensitivity of Gaussian processes to the choice of their correlation function and prior specifications
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2008
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Alexandra M. Schmidt
Ma. de Fåtima da G. Conceição
Guido A. Moreira
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Bayesian spatioâtemporal models based on discrete convolutions
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2008
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B. Sans Ìo
Alexandra M. Schmidt
Aline AraĂșjo Nobre
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+
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Revisiting distributed lag models through a Bayesian perspective
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2006
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Romy R. Ravines
Alexandra M. Schmidt
HĂ©lio S. Migon
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Spatio-temporal models for mapping the incidence of malaria in ParĂĄ
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2005
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Aline AraĂșjo Nobre
Alexandra M. Schmidt
Hedibert F. Lopes
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A Bayesian coregionalization approach for multivariate pollutant data
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2003
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Alexandra M. Schmidt
Alan E. Gelfand
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Bayesian Inference for Non-Stationary Spatial Covariance Structure via Spatial Deformations
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2003
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Alexandra M. Schmidt
Anthony OâHagan
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An adaptive resampling scheme for cycle estimation
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1999
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Alexandra M. Schmidt
Dani Gamerman
Ajax Reynaldo Bello Moreira
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Hyperparameter estimation in forecast models
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1999
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Hedibert F. Lopes
Ajax Reynaldo Bello Moreira
Alexandra M. Schmidt
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Temporal Aggregation in Dynamic Linear Models
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1997
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Alexandra M. Schmidt
Dani Gamerman
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Estimação de hiperparùmetros em modelos de previsão
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1996
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Hedibert F. Lopes
Alexandra M. Schmidt
Ajax Reynaldo Bello Moreira
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