An increasing number of statistical problems and methods involve
infinite-dimensional aspects. This is due to the progress of
technologies which allow us to store more and more information while
modern instruments are able to collect data much more effectively
due to their increasingly sophisticated design. This evolution directly
concerns statisticians, who have to propose new methodologies while
taking into account such high-dimensional data (e.g. continuous processes,
functional data, etc.). The numerous applications (micro-arrays, paleo-
ecological data, radar waveforms, spectrometric curves, speech recognition,
continuous time series, 3-D images, etc.) in various fields (biology,
econometrics, environmetrics, the food industry, medical sciences, paper
industry, etc.) make researching this statistical topic very worthwhile. This book gathers important contributions on the functional and operatorial statistics fields