Matthew Nunes supervises 3 postgraduate research students. If these students have produced research profiles, these are listed below:
Student research profiles
I am interested in supervising PhD students in the broad areas of time series and image analysis, multiscale (wavelet) methods in statistics and analysis of network data. Example research topics include: inference methods for networks, multiscale variance stabilisation, long-memory.
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.
Research output: Contribution in Book/Report/Proceedings › Conference contribution
Research output: Contribution to journal › Journal article
Research output: Contribution to journal › Book/Film/Article review