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Markov chain Interest1 #708753 Markov chain Monte Carlo methods (McMC)

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EIDM »EIDM EIDM ☜The Emerging Infectious Diseases Modelling Initiative (EIDM) – by the Public Health Agency of Canada and NSERC – aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19. [1]☜F1CEB7

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Research interests »Research interestsResearch interests☜☜9FDEF6

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Markov chainMarkov chain☜Markov chain Monte Carlo methods (McMC)☜9FDEF6

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Bayesian analysis »Bayesian analysisBayesian analysis☜☜FFFACD

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09 Joint Estimation of Parameters in Outbreak Models »09 Joint Estimation of Parameters in Outbreak Models09 Joint Estimation of Parameters in Outbreak Models☜This project aims to address various issues relevant to joint estimation of parameters in epidemic models.☜FFFACD

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David A. Stephens »David A. StephensDavid A. Stephens☜Professor in the Department of Mathematics and Statistics and Vice-Dean in the Faculty of Science at McGill University.☜FFFACD

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Juxin Liu »Juxin LiuJuxin Liu☜Professor of Statistics in the Department of Mathematics and Statistics at the University of Saskatchewan☜FFFACD

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Rob Deardon »Rob DeardonRob Deardon☜Associate Professor in the Department of Production Animal Health in the Faculty of Veterinary Medicine and the Department of Mathematics and Statistics in the Faculty of Science at the University of Calgary.☜FFFACD

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SimBIID »SimBIIDSimBIID☜Simulation-Based Inference Methods for Infectious Disease Model – Provides some code to run simulations of state-space models, and then use these in the Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) algorithm of Toni et al. (2009) and a bootstrap particle filter based particle Markov chain Monte Carlo (PMCMC) algorithm (Andrieu et al., 2010). Also provides functions to plot and summarise the outputs. [1]☜FFFACD

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pmcmc_dynamic_modeling »pmcmc_dynamic_modelingpmcmc_dynamic_modeling☜Dynamic Modeling using Particle Markov Chain Monte Carlo (PMCMC) Techniques.☜FFFACD

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2021/10/19 Nathaniel Osgood »2021/10/19 Nathaniel Osgood2021/10/19 Nathaniel Osgood☜Service Delivery from Models: Production-grade real-time COVID-19 epidemiology and acute care demand monitoring and nowcasting via Particle-Filter & Particle MCMC-leveraged Transmission Models☜FFFACD

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Julien Arino »Julien ArinoJulien Arino☜Professor and Faculty of Science Research Chair in Fundamental Science with the Department of Mathematics at the University of Manitoba.☜FFFACD

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Lecture 8: Stochastic epidemiological models »Lecture 8: Stochastic epidemiological modelsLecture 8: Stochastic epidemiological models☜2023 AARMS-EIDM Summer School, Lecture 8 Stochastic epidemiological models by Julien Arino as part of Course 1: Mathematical Epidemiology.☜FFFACD

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Redagavo: David Price
NodeID: #708753
Node type: Interest
Įvedimo data (GMT): 3/9/2023 12:31:00 PM
Paskutinės redakcijos data (GMT laikas): 3/9/2023 12:31:00 PM
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