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Bayesian analysis Interest1 #703959

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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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Bayesian analysisBayesian analysis☜☜9FDEF6

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Alexandra Schmidt »Alexandra SchmidtAlexandra Schmidt☜Alexandra M. Schmidt is Professor of Biostatistics and holds the endowed University Chair in the Department of Epidemiology, Biostatistics and Occupational Health (EBOH) at McGill University. Currently, she is the Program Director of the Biostatistics Graduate Program.☜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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Michael Y Li »Michael Y LiMichael Y Li☜Professor of Mathematics in the Department of Mathematical and Statistical Sciences at the University of Alberta, and Director of the Information Research Lab (IRL).☜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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Derek Bingham »Derek BinghamDerek Bingham☜Professor of Statistics and Actuarial Science, Simon Fraser University.☜FFFACD

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Hanna Jankowski »Hanna JankowskiHanna Jankowski☜Professor in the Department of Mathematics and Statistics at York 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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Mathieu Maheu-Giroux »Mathieu Maheu-GirouxMathieu Maheu-Giroux☜Canada Research Chair (Tier 2) in Population Health Modeling and Associate Professor, McGill University.☜FFFACD

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Paul Gustafson »Paul GustafsonPaul Gustafson☜Professor and Head of the Department of Statistics at the University of British Columbia Vancouver.☜FFFACD

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COVID Prevalence Estimate »COVID Prevalence EstimateCOVID Prevalence Estimate☜An implementation of Bayesian inference and prediction of COVID-19 point-prevalence.☜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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Dempster-Shafer Bayesian Network inference package »Dempster-Shafer Bayesian Network inference packageDempster-Shafer Bayesian Network inference package☜DS-BN is a C++ executable that accepts input data related to probabilistic belief networks and Dempster-Shafer belief networks through the use of files. According to provided instructions from one of the files, performs computations and writes inferred probability distributions or Dempster-Shafer models into an output file. [2]☜FFFACD

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Markov chain »Markov chainMarkov chain☜Markov chain Monte Carlo methods (McMC)☜FFFACD

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Probabilistic inference models »Probabilistic inference modelsProbabilistic inference models☜Probabilistic inference models to address bias, validity and credibility of infectious disease data. This project addresses data management and usage for decision support related to EIDM.☜FFFACD

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Entered by:- David Price
NodeID: #703959
Node type: Interest
Entry date (GMT): 11/5/2022 4:05:00 PM
Last edit date (GMT): 3/9/2023 9:24:00 AM
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Incoming cross-relations: 2
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