Published papers (reverse chronological order)
- Summers, R.W., Swallow, B., Fridman, J., Hokkanen, T., Newton, I.
& Buckland, S.T. (2024) ‘Irruptions of crossbills Loxia
spp. in northern Europe – patterns and correlations with seed production
by key and non-key conifers’, Ibis in press
- Millington, T. et al. (2024) Caveats in Reporting of
National Vaccine Uptake (accepted in Journal of Global
Health)
- Shi, T. et al. (2023) Risk
of winter hospitalisation and death from acute respiratory infections in
Scotland, in press Journal of the Royal Society of
Medicine
- Swallow, B., (2023) Ben Swallow’s contribution
to the Discussion of “Martingale Posterior Distributions” by Fong,
Holmes and Walker, (in press JRSSB)
- Jun Villejo, S., Illian, J. and Swallow, B., (2023) ‘Data Fusion in a
Two-stage Spatio-Temporal Model using the INLA-SPDE Approach.’, (in
press Spatial Statistics)
- Firat, E., Swallow, B. and Laramee, R.S., (2023) ‘PCP-Ed: Parallel
coordinate plots for ensemble data’, (accepted in Visual
Informatics)
- Rydow, E. et al., (2022) ‘Development and
Evaluation of Two Approaches of Visual Sensitivity Analysis to Support
Epidemiological Modelling’ (accepted for publication in IEEE
TVCG)
- Shadbolt, N. et al., (2022) ‘The
Challenges of Data in Future Pandemics’ (accepted for publication in
special issue of Epidemics)
- Marion, G. et al., ‘Modelling:
understanding pandemics and how to control them’ (accepted for
publication in special issue of Epidemics)
- Zhang, H., Swallow, B. and Gupta, M., (2022) ‘Bayesian hierarchical
mixture models for detecting non-normal clusters applied to noisy
genomic and environmental datasets’, (accepted for invited special
issue, Aust. N.Z. J. Stat)
- Panovska-Griffiths, J. et al., (2022) ‘Statistical and
agent-based modelling of the transmissibility of different SARS-CoV-2
variants in England and impact of different interventions’, accepted
for themed issue of PTRSA
- Dunne, M. et al., (2022) ‘Complex
model calibration through emulation, a worked example for a stochastic
epidemic model’ (accepted for publication in special issue of
Epidemics)
- Chadwick, F. et al., (2022) ‘Combining Rapid Antigen
Testing and Syndromic Surveillance Improves Sensitivity and Specificity
of COVID-19 Detection: A Community-Based Prospective Diagnostic
Study.’, accepted for publication in Nature Comms.
- Swallow, B., Xiang, W. and Panovska-Griffiths, J., (2022) ‘Tracking the national and
regional COVID-19 epidemic status in the UK using directed Principal
Component Analysis.’, accepted for themed issue of
PTRSA
- Dykes, J. et al., (2022) ‘Visualization for
Epidemiological Modelling: Challenges, Solutions, Reflections &
Recommendations’, accepted for themed issue of PTRSA
- Swallow, B., et al., (2022) ‘Challenges
in estimation, uncertainty quantification and elicitation for pandemic
modelling’, (in press in Epidemics, https://doi.org/10.1016/j.epidem.2022.100547)
- Kretzschmar, M. et al., (2022) ‘Challenges for modelling
interventions for future pandemics’ (in press in Epidemics, https://doi.org/10.1016/j.epidem.2022.100546)
- Hadley, L. et al., (2021) ‘Challenges on the interaction of models
and policy for pandemic control,’ (in press in Epidemics, https://doi.org/10.1016/j.epidem.2021.100499)
- Sacchi, G. and Swallow, B. (2021) ‘Parallel tempering as a
mechanism for facilitating inference in hierarchical hidden Markov
models.’, (in press in Frontiers in Ecology and
Evolution)
- Swallow, B., Buckland, S. T., King, R. and Toms, M. P. (2019) Assessing factors associated
with changes in the numbers of birds visiting gardens in winter: are
predators partly to blame?’ (Ecology and Evolution,
9, 12182– 12192) and journal
blog post
- Jones-Todd, C. M., Swallow, B., Illian, J. B. and Toms, M. P. (2018)
A
spatio-temporal multi-species model of a semi-continuous response.’
(JRSS(C), 67(3), 705–722)
- Swallow, B., King, R., Buckland, S. T. and Toms, M. P. (2016) Identifying
multi-species synchrony in response to environmental covariates.’
(Ecology and Evolution, 6(23), 8515–8525)
- Swallow, B., Buckland, S. T., King, R. and Toms, M. P. (2015) ‘Bayesian
Hierarchical Modelling of Continuous Non-negative Longitudinal Data with
a Spike at Zero: An Application to a Study of Birds Visiting Gardens in
Winter.’ (Biometrical Journal Special Issue,
58(2), 357–371, Special) and press
release from BTO.
Preprints/under submission
- Stroud, J., (2024) ‘Fast Gaussian Processes for Bayesian inference -
How smooth is your latent process?’
- Hu, C., Swallow, B. and Castro-Camilo, D., (2024) ‘A Bayesian multivariate extreme
value mixture model’ arXiv:2401.15703
- Macdonald, C. et al., ‘Association between antibody responses
post-vaccination and severe COVID-19 outcomes: national population-based
cohort study in Scotland’ (2024)
- Swallow, B., Rand, D.A. and Minas, G. (2022), ‘Bayesian inference for
stochastic oscillatory systems using the phase-corrected Linear Noise
Approximation.’
- Xiang, W. and Swallow, B. (2021) ‘Multivariate
spatio-temporal analysis of the global COVID-19 pandemic.’
- Swallow, B., Rigby, M., Rougier, J.C., Manning, A.J., Lunt, M. and
O’Doherty S. (2017) ‘Parametric
uncertainty in complex environmental models: a cheap emulation approach
for models with high-dimensional output applied to greenhouse gas
emissions estimation.’
Journals I have reviewed for
- Bayesian Analysis
- JRSS(C)
- Journal of
- Annals of Applied Statistics
- Biometrics
- Journal of Theoretical Biology
- Forrest Ecology and Management
- Studies in Automation and Information Technology
- Chemometrics and Intelligent Laboratory Systems (awarded Outstanding
Reviewer status November 2016)
- Proceedings of the Royal Society A
- Biology Letters
- JABES
- Environmental and Ecological Statistics
- Natural Resource Modeling
- Statistical Methods in Medical Research