Model: University of Virginia, Biocomplexity COVID-19 Response Team - UVA-Ensemble

    Name: Ensemble model
    Abbreviation: UVA-Ensemble
    Owner: epiforecasts
    Team name: University of Virginia, Biocomplexity COVID-19 Response Team
    Description: An ensemble of multiple methods such as auto-regressive (AR)models with exogenous variables, Long short-term memory (lSTM) models,Kalman filter and PatchSim (an SEIR model).
    Contributors: Aniruddha Adiga (UVA)<aniruddha@virginia.edu>, Lijing Wang(UVA), Srinivasan Venkatramanan (UVA), Akhil Sai Peddireddy (UVA), Benjamin Hurt (UVA), Przemyslaw Porebski, Bryan Lewis (UVA), Madhav Marathe (UVA), Jiangzhou Chen, Anil Vullikanti.
    License: Creative Commons Attribution 4.0
    Notes: primary
    Citation: Missing
    Methods: This is a national-level (specific to DE, PL, GB in this round) multi-method model forecasting the new confirmed cases. Multiple methods include AR methods, an LSTM model(not included in this round),Kalman filters, ARIMA(not included in this round), and PatchSim(not included in this round), variant of SEIR(not included in this round). Multimethod forecasts are combined using Bayesian model averaging.
    Home: https://biocomplexity.virginia.edu/
    Auxiliary data: Missing

    Forecasts (54)

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