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Guy P. Nason

  1. Modelling, Detrending and Decorrelation of Network Time Series
    2016/03/10 by Marina I. Knight, Matthew A. Nunes, Knight, M. I. +3 · 5 citations
    Agricultural and Biological Sciences · Economics, Econometrics and Finance · #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Horticultural and Viticultural Research #Methodology (stat.ME) #Spatial and Panel Data Analysis
  2. New tools for network time series with an application to COVID-19 hospitalisations
    2023/12/01 by Guy P. Nason, Daniel Salnikov, Nason, Guy +3 · 1 voice · 2 citations
    Economics, Econometrics and Finance · Neuroscience · Psychology · #62M10 #62P10 #Applications (stat.AP) #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Mental Health Research Topics #Methodology (stat.ME)
  3. Generalised Network Autoregressive Processes and the GNAR package
    2019/12/10 by Marina I. Knight, Kathryn Leeming, Knight, Marina +5 · 1 citation
    Computer Science · Economics, Econometrics and Finance · Mathematics · #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Methodology (stat.ME) #Neural Networks and Applications #Statistical Methods and Inference
  4. Forecasting UK Consumer Price Inflation with RaGNAR: Random Generalised Network Autoregressive Processes
    2025/05/07 by Guy P. Nason, Henry Antonio Palasciano, Nason, Guy P. +1 · 2 citations
    Economics, Econometrics and Finance · Decision Sciences · #Financial Risk and Volatility Modeling #Stock Market Forecasting Methods #Monetary Policy and Economic Impact
  5. Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting
    2024/03/13 by Guy P. Nason, Nason, Guy P, James L. Wei +1 · 1 citation
    Computer Science · Decision Sciences · #62M10 #62M45 #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Neural Networks and Applications #Stock Market Forecasting Methods #Time Series Analysis and Forecasting