Approximate bayesian computation
MA Beaumont - Annual review of statistics and its application, 2019 - annualreviews.org
Many of the statistical models that could provide an accurate, interesting, and testable
explanation for the structure of a data set turn out to have intractable likelihood functions …
explanation for the structure of a data set turn out to have intractable likelihood functions …
Analyzing stochastic computer models: A review with opportunities
Analyzing Stochastic Computer Models: A Review with Opportunities Page 1 Statistical
Science 2022, Vol. 37, No. 1, 64–89 https://doi.org/10.1214/21-STS822 © Institute of …
Science 2022, Vol. 37, No. 1, 64–89 https://doi.org/10.1214/21-STS822 © Institute of …
[HTML][HTML] Approximate Bayesian Computation for infectious disease modelling
A Minter, R Retkute - Epidemics, 2019 - Elsevier
Abstract Approximate Bayesian Computation (ABC) techniques are a suite of model fitting
methods which can be implemented without a using likelihood function. In order to use ABC …
methods which can be implemented without a using likelihood function. In order to use ABC …
Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling
The estimation of parameters and model structure for informing infectious disease response
has become a focal point of the recent pandemic. However, it has also highlighted a …
has become a focal point of the recent pandemic. However, it has also highlighted a …
June: open-source individual-based epidemiology simulation
J Aylett-Bullock, C Cuesta-Lazaro… - Royal Society …, 2021 - royalsocietypublishing.org
We introduce June, an open-source framework for the detailed simulation of epidemics on
the basis of social interactions in a virtual population constructed from geographically …
the basis of social interactions in a virtual population constructed from geographically …
Bayesian emulation and history matching of JUNE
We analyze JUNE: a detailed model of COVID-19 transmission with high spatial and
demographic resolution, developed as part of the RAMP initiative. JUNE requires substantial …
demographic resolution, developed as part of the RAMP initiative. JUNE requires substantial …
A quantitative systems pharmacology perspective on the importance of parameter identifiability
A Sher, SA Niederer, GR Mirams… - Bulletin of Mathematical …, 2022 - Springer
There is an inherent tension in Quantitative Systems Pharmacology (QSP) between the
need to incorporate mathematical descriptions of complex physiology and drug targets with …
need to incorporate mathematical descriptions of complex physiology and drug targets with …
Calibration of individual-based models to epidemiological data: A systematic review
CM Hazelbag, J Dushoff, EM Dominic… - PLoS computational …, 2020 - journals.plos.org
Individual-based models (IBMs) informing public health policy should be calibrated to data
and provide estimates of uncertainty. Two main components of model-calibration methods …
and provide estimates of uncertainty. Two main components of model-calibration methods …
Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions
Background Many mathematical models have now been employed across every area of
systems biology. These models increasingly involve large numbers of unknown parameters …
systems biology. These models increasingly involve large numbers of unknown parameters …
Urban land-use planning under multi-uncertainty and multiobjective considering ecosystem service value and economic benefit-A case study of Guangzhou, China
PP Gao, YP Li, JW Gong, GH Huang - Ecological Complexity, 2021 - Elsevier
Effective land-use planning considering ecosystem service value (ESV) is indispensable in
facilitating economic development and eco-environment sustainability. In this study, a Monte …
facilitating economic development and eco-environment sustainability. In this study, a Monte …