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COVID-19 cycles and rapidly evaluating lockdown strategies using spectral analysis

Scientific reports, 2020-12, Vol.10 (1), p.22134-22134, Article 22134

Nason, Guy P

2020

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A test for the absence of aliasing or white noise in two-dimensional locally stationary wavelet processes

Statistics and computing, 2023-10, Vol.33 (5), Article 108

2023

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A new method for computing the projection median, its influence curve and techniques for the production of projected quantile plots

PloS one, 2020-05, Vol.15 (5), p.e0229845-e0229845

2020

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Generalized Network Autoregressive Processes and the GNAR Package

Journal of statistical software, 2020-11, Vol.96 (5), p.1-36

2020

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Quantifying the economic response to COVID‐19 mitigations and death rates via forecasting purchasing managers' indices using generalised network autoregressive models with exogenous variables

Journal of the Royal Statistical Society. Series A, Statistics in society, 2022-10, Vol.185 (4), p.1778-1792

2022

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Nason and Wei's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’

Journal of the Royal Statistical Society. Series A, Statistics in society, 2022-10, Vol.185 (4), p.1844-1846

2022

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Changing composition of SARS-CoV-2 lineages and rise of Delta variant in England

EClinicalMedicine, 2021-09, Vol.39, p.101064-101064, Article 101064

2021

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Automatic locally stationary time series forecasting with application to predicting UK gross value added time series

Journal of the Royal Statistical Society Series C: Applied Statistics, 2024-08

2024

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A test for second-order stationarity and approximate confidence intervals for localized autocovariances for locally stationary time series

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2013-11, Vol.75 (5), p.879-904

Nason, Guy

2013

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Bayesian Wavelet Shrinkage of the Haar-Fisz Transformed Wavelet Periodogram

PloS one, 2015-09, Vol.10 (9), p.e0137662-e0137662

2015

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t-tubule disease: Relationship between t-tubule organization and regional contractile performance in human dilated cardiomyopathy

Journal of molecular and cellular cardiology, 2015-07, Vol.84, p.170-178

2015

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Should we sample a time series more frequently?: decision support via multirate spectrum estimation

Journal of the Royal Statistical Society. Series A, Statistics in society, 2017-02, Vol.180 (2), p.353-407

2017

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Guy Nason's invited discussion contribution to the papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021

Journal of the Royal Statistical Society. Series A, Statistics in society, 2022-11, Vol.185 (Supplement_1), p.S99-S102

Nason, Guy

2022

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Locally Stationary Wavelet Packet Processes: Basis Selection and Model Fitting

Journal of time series analysis, 2017-03, Vol.38 (2), p.151-174

2017

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Optimal Sampling Frequency of Serum Cortisol Concentrations After Cardiac Surgery

Critical care medicine, 2017-10, Vol.45 (10), p.e1103-e1104

2017

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A wavelet lifting approach to long-memory estimation

Statistics and computing, 2017, Vol.27 (6), p.1453-1471

2017

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Multiscale methods for data on graphs and irregular multidimensional situations

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2009-01, Vol.71 (1), p.97-125

2009

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Measuring the degree of non-stationarity of a time series

Stat (International Statistical Institute), 2016, Vol.5 (1), p.295-305

2016

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Case study: shipping trend estimation and prediction via multiscale variance stabilisation

Journal of applied statistics, 2017-11, Vol.44 (15), p.2672-2684

2017

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A Haar-Fisz Algorithm for Poisson Intensity Estimation

Journal of computational and graphical statistics, 2004-09, Vol.13 (3), p.621-638

2004

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Costationarity of Locally Stationary Time Series Using costat

Journal of statistical software, 2013-10, Vol.55 (1), p.1-22

2013

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Wavelet Methods in Statistics with R

1. Aufl., 2008

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Editorial: Statistical flaws in the teaching excellence and student outcomes framework in UK higher education

Journal of the Royal Statistical Society. Series A, Statistics in society, 2018-10, Vol.181 (4), p.923-925

Nason, Guy

2018

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Haar-Fisz estimation of evolutionary wavelet spectra

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2006-09, Vol.68 (4), p.611-634

2006

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Locally stationary wavelet fields with application to the modelling and analysis of image texture

Applied statistics, 2010-08, Vol.59 (4), p.595-616

2010

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COVID-19 cycles and rapidly evaluating lockdown strategies using spectral analysis

A test for the absence of aliasing or white noise in two-dimensional locally stationary wavelet processes

A new method for computing the projection median, its influence curve and techniques for the production of projected quantile plots

Generalized Network Autoregressive Processes and the GNAR Package

Quantifying the economic response to COVID‐19 mitigations and death rates via forecasting purchasing managers' indices using generalised network autoregressive models with exogenous variables

Nason and Wei's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’

Changing composition of SARS-CoV-2 lineages and rise of Delta variant in England

Automatic locally stationary time series forecasting with application to predicting UK gross value added time series

A test for second-order stationarity and approximate confidence intervals for localized autocovariances for locally stationary time series

Bayesian Wavelet Shrinkage of the Haar-Fisz Transformed Wavelet Periodogram

t-tubule disease: Relationship between t-tubule organization and regional contractile performance in human dilated cardiomyopathy

Should we sample a time series more frequently?: decision support via multirate spectrum estimation

Guy Nason's invited discussion contribution to the papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021

Locally Stationary Wavelet Packet Processes: Basis Selection and Model Fitting

Optimal Sampling Frequency of Serum Cortisol Concentrations After Cardiac Surgery

A wavelet lifting approach to long-memory estimation

Multiscale methods for data on graphs and irregular multidimensional situations

Measuring the degree of non-stationarity of a time series

Case study: shipping trend estimation and prediction via multiscale variance stabilisation

A Haar-Fisz Algorithm for Poisson Intensity Estimation

Costationarity of Locally Stationary Time Series Using costat

Wavelet Methods in Statistics with R

Editorial: Statistical flaws in the teaching excellence and student outcomes framework in UK higher education

Haar-Fisz estimation of evolutionary wavelet spectra

Locally stationary wavelet fields with application to the modelling and analysis of image texture

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