Matthew A. Nunes
Matthew A. Nunes
Reader in Statistics, University of Bath
Verified email at - Homepage
Cited by
Cited by
A comparative review of dimension reduction methods in approximate Bayesian computation
MGB Blum, MA Nunes, D Prangle, SA Sisson
On optimal selection of summary statistics for approximate Bayesian computation
MA Nunes, DJ Balding
Statistical applications in genetics and molecular biology 9 (1), 2010
abctools: an R package for tuning approximate Bayesian computation analyses
MA Nunes, D Prangle
The R Journal, 2015
Adaptive lifting for nonparametric regression
MA Nunes, MI Knight, GP Nason
Statistics and Computing 16, 143-159, 2006
Generalised network autoregressive processes and the GNAR package
M Knight, K Leeming, G Nason, M Nunes
arXiv preprint arXiv:1912.04758, 2019
Spectral estimation for locally stationary time series with missing observations
MI Knight, MA Nunes, GP Nason
Statistics and Computing 22, 877-895, 2012
Modelling, detrending and decorrelation of network time series
MI Knight, MA Nunes, GP Nason
arXiv preprint arXiv:1603.03221, 2016
A wavelet lifting approach to long-memory estimation
MI Knight, GP Nason, MA Nunes
Statistics and Computing 27 (6), 1453-1471, 2017
Interpretable brain age prediction using linear latent variable models of functional connectivity
RP Monti, A Gibberd, S Roy, M Nunes, R Lorenz, R Leech, T Ogawa, ...
Plos one 15 (6), e0232296, 2020
A test of stationarity for textured images
SL Taylor, IA Eckley, MA Nunes
Technometrics 56 (3), 291-301, 2014
Long memory estimation for complex-valued time series
MI Knight, MA Nunes
Statistics and computing 29, 517-536, 2019
A Multiscale Test of Spatial Stationarity for Textured Images in R.
MA Nunes, SL Taylor, IA Eckley
R Journal 6 (1), 2014
A wavelet-based approach for imputation in nonstationary multivariate time series
RE Wilson, IA Eckley, MA Nunes, T Park
Statistics and Computing 31 (2), 18, 2021
Trend locally stationary wavelet processes
ET McGonigle, R Killick, MA Nunes
Journal of Time Series Analysis 43 (6), 895-917, 2022
Modelling time-varying first and second-order structure of time series via wavelets and differencing
ET McGonigle, R Killick, MA Nunes
Electronic Journal of Statistics 16 (2), 4398-4448, 2022
GNAR: Methods for fitting network time series models
K Leeming, GP Nason, MA Nunes, MI Knight
Multivariate locally stationary 2D wavelet processes with application to colour texture analysis
SL Taylor, IA Eckley, MA Nunes
Statistics and computing 27, 1129-1143, 2017
Complex-valued wavelet lifting and applications
J Hamilton, MA Nunes, MI Knight, P Fryzlewicz
Technometrics 60 (1), 48-60, 2018
Modelling and prediction of time series arising on a graph
MA Nunes, MI Knight, GP Nason
Modeling and Stochastic Learning for Forecasting in High Dimensions, 183-192, 2015
Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series
RE Wilson, IA Eckley, MA Nunes, T Park
Data Mining and Knowledge Discovery 33, 748-772, 2019
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