[HTML][HTML] Modelling: understanding pandemics and how to control them
New disease challenges, societal demands and better or novel types of data, drive
innovations in the structure, formulation and analysis of epidemic models. Innovations in …
innovations in the structure, formulation and analysis of epidemic models. Innovations in …
Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models
Birth-death models play a key role in phylodynamic analysis for their interpretation in terms
of key epidemiological parameters. In particular, models with piecewise-constant rates …
of key epidemiological parameters. In particular, models with piecewise-constant rates …
[PDF][PDF] Research on the Coupling of Regional Low-Carbon Economy and Energy Structure Based on Multi Algorithm Optimization: A Case Study of Anhui Province.
S Zhao, G He, Z Zheng, S Zhang, T Wu… - Polish Journal of …, 2024 - pjoes.com
In order to accelerate the high-quality development of green and low-carbon economy, it is
necessary to study the coordination between the regional low-carbon economy and the …
necessary to study the coordination between the regional low-carbon economy and the …
Stochastic epidemic models inference and diagnosis with Poisson random measure data augmentation
We present a new Bayesian inference method for compartmental models that takes into
account the intrinsic stochasticity of the process. We show how to formulate a SIR-type …
account the intrinsic stochasticity of the process. We show how to formulate a SIR-type …
Bayesian inference for infectious diseases: stochastic models, phylodynamics and data integration
B Nguyen-Van-Yen - 2021 - theses.hal.science
The year 2020 and the COVID-19 pandemic have proven again the importance of
understanding and controlling the spread of infectious diseases. Infectious disease …
understanding and controlling the spread of infectious diseases. Infectious disease …