We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Christine P. Chai's contribution to the 'First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic'.
- Authors
Chai, Christine P.
- Abstract
(2021) Quantifying the economic response to COVID-19 mitigations and death rates via forecasting purchasing managers' indices using generalised network autoregressive models with exogenous variables. arXiv preprint arXiv:2107.07605. Keywords: Covid-19; p-value; statistical significance EN Covid-19 p-value statistical significance 1823 1824 2 12/28/22 20221001 NES 221001 STATISTICAL ASPECTS OF THE COVID-19 PANDEMIC B Paper 1: b 'Modeling the Covid-19 infection trajectory: a piecewise linear quantile regression' B Authors: b F Jiang (Fudan University, Shanghai, China); Z Zhao, (University of Notre Dame, Indiana, USA); X Shao (University of Illinois Urbana-Champaign, USA) B Paper 2 b : 'Quantifying the economic response to Covid-19 mitigations and death rates via forecasting Purchasing Managers' Indices using Generalised Network Autoregressive models with exogenous variables' B Authors: b G Nason & J Wei, Imperial College London, UK B Paper 3 b : 'Small Data, Big Time - A retrospect of the first weeks of Covid-19' B Author: b Q Zhao, Statistical Laboratory, University of Cambridge, UK Disclaimer: The opinions and views expressed here are those of the author and do not necessarily state or reflect those of Microsoft. The ASA (American Statistical Association) also published an official statement on the context of the I p i -values (Wasserstein & Lazar, [2]).
- Subjects
COVID-19 pandemic; QUANTILE regression; PURCHASING managers index
- Publication
Journal of the Royal Statistical Society: Series A (Statistics in Society), 2022, Vol 185, Issue 4, p1823
- ISSN
0964-1998
- Publication type
Article
- DOI
10.1111/rssa.12924