Dr Matthew Nunes

Lecturer in Statistics

Research Interests

My research is primarily in the area of developing multiscale methods for analyzing signals, such as time series and images. These methods capture information in signals by examining them at different scales or frequencies via wavelet transforms. I am particularly interested in applications of wavelet lifting schemes in non-standard data collection situations, for example irregular sampling regimes in time or space.

Complex-valued wavelet lifting and applications
Hamilton, J., Nunes, M.A., Knight, M., Fryzlewicz, P. 22/02/2018 In: Technometrics. 60, 1, p. 48-60. 13 p.
Journal article

A wavelet lifting approach to long-memory estimation
Knight, M., Nason, G.P., Nunes, M.A. 11/2017 In: Statistics and Computing. 27, 6, p. 1453-1471. 19 p.
Journal article

Multivariate locally stationary 2D wavelet processes with application to colour texture analysis
Taylor, S., Eckley, I.A., Nunes, M.A. 07/2017 In: Statistics and Computing. 27, 4, p. 1129-1143. 15 p.
Journal article

Discussion of "Should we sample more frequently?: decision support via multirate spectrum estimation" by G. P. Nason, B. Powell, D. Elliott and P. A. Smith
Knight, M., Nunes, M.A. 02/2017 In: Journal of the Royal Statistical Society: Series A (Statistics in Society). 180, 2, p. 388-389. 2 p.
Journal article

abctools: an R package for tuning Approximate Bayesian Computation analyses
Nunes, M.A., Prangle, D. 12/2015 In: The R Journal. 7, 2, p. 189-205. 17 p.
Journal article

Review of Kolaczyk, E. D. and Csárdi, G. Statistical Analysis of Network Data with R
Nunes, M.A. 6/08/2015 In: Journal of Statistical Software. 66
Book/Film/Article review

Modelling and prediction of time series arising on a graph
Nunes, M., Knight, M., Nason, G.P. 4/06/2015 In: Modeling and Stochastic Learning for Forecasting in High Dimensions. New York : Springer International Publishing p. 183-192. 10 p. Electronic ISBN: 9783319187327.
Conference contribution

A multiscale test of spatial stationarity for textured images in R
Nunes, M., Taylor, S., Eckley, I. 06/2014 In: The R Journal. 6, 1, p. 20-30. 11 p.
Journal article

A test of stationarity for textured images
Taylor, S., Eckley, I., Nunes, M. 2014 In: Technometrics. 56, 3, p. 291-301. 11 p.
Journal article

A comparative review of dimension reduction methods in approximate Bayesian computation
Blum, M.G.B., Nunes, M., Prangle, D., Sisson, S.A. 05/2013 In: Statistical Science. 28, 2, p. 189-208. 20 p.
Journal article

Spectral estimation for locally stationary time series with missing observations
Knight, M.A., Nunes, M., Nason, G.P. 07/2012 In: Statistics and Computing. 22, 4, p. 877-895. 19 p.
Journal article

On optimal selection of summary statistics for approximate Bayesian computation
Nunes, M.A., Balding, D.J. 2010 In: Statistical Applications in Genetics and Molecular Biology. 9, 1, 16 p.
Journal article

A multiscale variance stabilization for binomial sequence proportion estimation
Nunes, M.A., Nason, G.P. 10/2009 In: Statistica Sinica. 19, 4, p. 1491-1510. 20 p.
Journal article

An adaptive lifting algorithm and applications
Knight, M., Nunes, M. 2008 In: Proceedings of the 56th Session of the ISI. Instituto Nacional de Estatıstica p. 166-173. 8 p.

Adaptive lifting for nonparametric regression
Nunes, M.A., Knight, M.I., Nason, G.P. 06/2006 In: Statistics and Computing. 16, 2, p. 143-159. 17 p.
Journal article