Robust Kalman filter for Tuberculosis Incidence Time Series Forecasting

Author:

Jutinico Andres L.,Vergara Erika,Awad García Carlos Enrique,Palencia Maria Angélica,Orjuela-Cañon Alvaro David

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference17 articles.

1. Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA)

2. Seasonality and trend forecasting of tuberculosis prevalence data in eastern cape, south africa, using a hybrid model;Azeez;International journal of environmental research and public health,2016

3. Using phenomenological models to characterize transmissibility and forecast patterns and final burden of zika epidemics;Chowell;PLoS Curr,2016

4. Markovian robust filtering and control applied to rehabilitation robotics;Escalante;IEEE/ASME Transactions on Mechatronics,2021

5. Kalman Filtering: Theory and Practice Using Matlab;Grewal,2014

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