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06/27/2023
Bayesian Interrupted Time Series for evaluating policy change on mental well-being: an application to England's welfare reform
Factors contributing to social inequalities are also associated with neg...
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01/17/2022
A framework for estimating and visualising excess mortality during the COVID-19 pandemic
COVID-19 related deaths underestimate the pandemic burden on mortality b...
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12/18/2021
A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennia
Small area estimates of population are necessary for many epidemiologica...
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09/28/2021
Interoperability of statistical models in pandemic preparedness: principles and reality
We present "interoperability" as a guiding framework for statistical mod...
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07/27/2021
School neighbourhood and compliance with WHO-recommended annual NO2 guideline: a case study of Greater London
Despite several national and local policies towards cleaner air in Engla...
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06/16/2020
A joint bayesian space-time model to integrate spatially misaligned air pollution data in R-INLA
In air pollution studies, dispersion models provide estimates of concent...
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03/11/2020
A spatio-temporal model to understand forest fires causality in Europe
Forest fires are the outcome of a complex interaction between environmen...
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12/23/2019
Missing data analysis and imputation via latent Gaussian Markov random fields
In this paper we recast the problem of missing values in the covariates ...
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08/24/2018