Alexandra M. Schmidt

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Professor

McGill University

Canada

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Recent Grants

Grant: Close

Flexible spatiotemporal models for environmental processes

Open Date: 2017-08-01

Close Date: 2022-08-01

Grant: Close

Including covariates in the covariance structure of spatial processes

Open Date: 2011-03-01

Close Date: 2015-02-01

Articles (17)

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2024

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2022

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2022

Collaborators (7)

Sophie Duchesne

Full professor

INRS Eau Terre Environnement

CANADA

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Marco A. Rodriguez

Université du Québec à Trois-Rivières

CANADA

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Shirin Golchi

Associate professor

McGill University

CANADA

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Frans Berkhout

King’s College London

UNITED KINGDOM

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Erica EM Moodie

Professor

McGill University

CANADA

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David Stephens

Professor

McGill University

CANADA

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Jonathan Wakefield

UNITED STATES

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Alexandra M. Schmidt

Research Interests

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Contact this professor

Recent Grants

Articles (17)

Model-Based Prediction for Small Domains Using Covariates: A Comparison of Four Methods

A Bayesian non‐stationary heteroskedastic time series model for multivariate critical care data

A Joint Temporal Model for Hospitalizations and ICU Admissions Due to COVID‐19 in Quebec

Mapping socio-economic status using mixed data: a hierarchical Bayesian approach

A Comparison of Bayesian Approximation Methods for Analyzing Large Spatial Skewed Data

Modeling left-censored skewed spatial processes: The case of arsenic drinking water contamination

Bayesian modeling of dynamic behavioral change during an epidemic

The impact of directly observed therapy on the efficacy of Tuberculosis treatment: a Bayesian multilevel approach

Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto

On‐Line Warning System for Pipe Burst Using Bayesian Dynamic Linear Models

Dynamical non-Gaussian modelling of spatial processes

Strangers in a strange land: Mapping household and neighbourhood associations with improved wellbeing outcomes in Accra, Ghana

Discussion on “A combined estimate of global temperature”

Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin

A Poisson-multinomial spatial model for simultaneous outbreaks with application to arboviral diseases

A joint hierarchical model for the number of cases and deaths due to COVID-19 across the boroughs of Montreal

Zero‐state coupled Markov switching count models for spatio‐temporal infectious disease spread

Collaborators (7)

Sophie Duchesne

Marco A. Rodriguez

Shirin Golchi

Frans Berkhout

Erica EM Moodie

David Stephens

Jonathan Wakefield

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