My research interests lie in three main areas: (i) statistical theory & methods, (ii) statistical computing, and (iii) practical applications as described below.
- Bayesian methods.
- Interpolation and approximation methods (mainly splines but also wavelets based) for longitudinal and spatial data.
- Estimation of unknown changes in the pattern of response (i.e. change-points in longitudinal data or time series, contours of changes in geostatistics, boundary estimation in image analysis).
- Segmentation and classification methods in image and volume analysis.
- Parallel and distributed computation.
- Regularization methods.
- Markov Chain MonteCarlo (MCMC) methods.
- Statistical applications for problems in biological and natural sciences (i.e. environment, field trials, genetics, medicine and clinical trials).