Pathogen.jl: Infectious Disease Transmission Network Modelling with Julia
暂无分享,去创建一个
[1] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[2] David Welch,et al. epinet: An R Package to Analyze Epidemics Spread across Contact Networks , 2018 .
[3] Glenn F. Webb. Individual based models and differential equations models of nosocomial epidemics in hospital intensive care units , 2017 .
[4] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[5] D. Hunter,et al. Bayesian Inference for Contact Networks Given Epidemic Data , 2010 .
[6] Qing Nie,et al. DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia , 2017, Journal of Open Research Software.
[7] Christopher Rackauckas,et al. ADAPTIVE METHODS FOR STOCHASTIC DIFFERENTIAL EQUATIONS VIA NATURAL EMBEDDINGS AND REJECTION SAMPLING WITH MEMORY. , 2017, Discrete and continuous dynamical systems. Series B.
[8] Hiroshi Nishiura,et al. The correlation between infectivity and incubation period of measles, estimated from households with two cases. , 2011, Journal of theoretical biology.
[9] Christian P. Robert,et al. Monte Carlo Statistical Methods , 2005, Springer Texts in Statistics.
[10] David Welch,et al. A Network‐based Analysis of the 1861 Hagelloch Measles Data , 2012, Biometrics.
[11] D. Gillespie. Exact Stochastic Simulation of Coupled Chemical Reactions , 1977 .
[12] J. Rosenthal,et al. Coupling and Ergodicity of Adaptive Markov Chain Monte Carlo Algorithms , 2007, Journal of Applied Probability.
[13] Rob Deardon,et al. INFERENCE FOR INDIVIDUAL-LEVEL MODELS OF INFECTIOUS DISEASES IN LARGE POPULATIONS. , 2010, Statistica Sinica.
[14] Seyed M. Moghadas,et al. Projecting demand for critical care beds during COVID-19 outbreaks in Canada , 2020, Canadian Medical Association Journal.
[15] Kenneth Lange,et al. BioSimulator.jl: Stochastic simulation in Julia , 2018, Comput. Methods Programs Biomed..
[16] Andrew Parker,et al. Using approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process , 2016, npj Systems Biology and Applications.
[17] Leonhard Held,et al. Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance , 2014, ArXiv.
[18] Vaibhav Dixit,et al. DiffEqFlux.jl - A Julia Library for Neural Differential Equations , 2019, ArXiv.
[19] Martina Morris,et al. EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks , 2017, bioRxiv.
[20] Zoubin Ghahramani,et al. Turing: A Language for Flexible Probabilistic Inference , 2018 .