[HTML][HTML] Data-driven methods for present and future pandemics: Monitoring, modelling and managing
This survey analyses the role of data-driven methodologies for pandemic modelling and
control. We provide a roadmap from the access to epidemiological data sources to the …
control. We provide a roadmap from the access to epidemiological data sources to the …
Global childhood cancer survival estimates and priority-setting: a simulation-based analysis
Background Accurate childhood cancer survival estimates are crucial for policy makers and
clinicians for priority-setting and planning decisions. However, observed survival estimates …
clinicians for priority-setting and planning decisions. However, observed survival estimates …
[HTML][HTML] Influencing public health policy with data-informed mathematical models of infectious diseases: recent developments and new challenges
Modern data and computational resources, coupled with algorithmic and theoretical
advances to exploit these, allow disease dynamic models to be parameterised with …
advances to exploit these, allow disease dynamic models to be parameterised with …
[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 …
Approximate Bayesian computation and simulation-based inference for complex stochastic epidemic models
Approximate Bayesian Computation and Simulation-Based Inference for Complex Stochastic
Epidemic Models Page 1 Statistical Science 2018, Vol. 33, No. 1, 4–18 https://doi.org/10.1214/17-STS618 …
Epidemic Models Page 1 Statistical Science 2018, Vol. 33, No. 1, 4–18 https://doi.org/10.1214/17-STS618 …
[HTML][HTML] Influence of temperature, serum, and gonadotropin supplementation in short-and long-term organotypic culture of human immature testicular tissue
JV Medrano, T Vilanova-Pérez, V Fornés-Ferrer… - Fertility and …, 2018 - Elsevier
Objective To study how temperature, serum, and gonadotropin supplementation affect the
organotypic culture of human immature testicular tissue (ITT) in vitro. Design Experimental …
organotypic culture of human immature testicular tissue (ITT) in vitro. Design Experimental …
Optimally-weighted estimators of the maximum mean discrepancy for likelihood-free inference
Likelihood-free inference methods typically make use of a distance between simulated and
real data. A common example is the maximum mean discrepancy (MMD), which has …
real data. A common example is the maximum mean discrepancy (MMD), which has …
Mc-cim: Compute-in-memory with monte-carlo dropouts for bayesian edge intelligence
We propose MC-CIM, a compute-in-memory (CIM) framework for robust, yet low power,
Bayesian edge intelligence. Deep neural networks (DNN) with deterministic weights cannot …
Bayesian edge intelligence. Deep neural networks (DNN) with deterministic weights cannot …
Data-driven methods to monitor, model, forecast and control covid-19 pandemic: Leveraging data science, epidemiology and control theory
This document analyzes the role of data-driven methodologies in Covid-19 pandemic. We
provide a SWOT analysis and a roadmap that goes from the access to data sources to the …
provide a SWOT analysis and a roadmap that goes from the access to data sources to the …
Modeling COVID-19 pandemic using Bayesian analysis with application to Slovene data
D Manevski, NR Gorenjec, N Kejžar - Mathematical biosciences, 2020 - Elsevier
In the paper, we propose a semiparametric framework for modeling the COVID-19
pandemic. The stochastic part of the framework is based on Bayesian inference. The model …
pandemic. The stochastic part of the framework is based on Bayesian inference. The model …