首页|Findings from Queen Mary University of London Provides New Data about Coronaviru s (The Benefits of Forecasting Inflation With Machine Learning: New Evidence)

Findings from Queen Mary University of London Provides New Data about Coronaviru s (The Benefits of Forecasting Inflation With Machine Learning: New Evidence)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on RNA Viruses - Coronaviru s are presented in a new report. According tonews reporting originating in Lond on, United Kingdom, by NewsRx journalists, research stated, “Medeiroset al. (20 21) (Journal of Business & Economic Statistics, 39:1, 98-119) find that random forest (RF)outperforms US inflation forecasting benchmarks. We rep licate the main results in Medeiros et al. (2021)and (1) considerably expand th e set of machine learning methods, (2) analyse the predictive ability ofboth th e initial and extended sets of methods on Canadian and UK data, (3) add results on coverage ratesand widths of prediction intervals and (4) extend the sample f rom January 2016 to October 2022.”

LondonUnited KingdomEuropeCoronavi rusCyborgsEmerging TechnologiesMachine LearningRNA VirusesRisk and Pre ventionViralVirologyQueen Mary University of London

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.29)