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.

Changepoints and Time Series, Modelling and Inference, STOR-i Centre for Doctoral Training

Changepoints and Time Series, STOR-i Centre for Doctoral Training

STOR-i Centre for Doctoral Training

Centre for Marketing Analytics & Forecasting, Centre for Transportation Systems & Logistics (CENTRAL), Modelling and Inference, STOR-i Centre for Doctoral Training

  • Changepoints and Time Series
  • Modelling and Inference
  • STOR-i Centre for Doctoral Training