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.
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