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  <abstract type="Summary">Wir untersuchen den Modalwert einer Verteilung, die auf einem Funktionenraum wie etwa dem Raum integrierbarer Funktionen definiert ist. Die Definition des Modalwerts basiert auf Small-Ball-Wahrscheinlichkeiten. Wir benutzen Entropiemethoden wie etwa endliche Überdeckungen für die Definition eines Modalwertschätzers und die Beschreibung seines asymptotischen Verhaltens. Wir zeigen die starke Konsistenz und ermitteln die optimale Konvergenzrate für eine Klasse von Verteilungen, deren Modalwerte in einer totalbeschränkten Teilmenge des Funktionenraums liegen.&lt;ger&gt;</abstract>
  <abstract type="Summary">We investigate the mode of a distribution defined on a function space, e.g. the space of integrable functions. We give a definition of the mode using small ball probabilities. We use entropy methods, e.g. finite covers, to define an estimator of the mode and to deduce its asymptotic behaviour. We show strong consistency and continue to derive the optimal rate of convergence over a class of distributions whose modes are contained in a totally bounded subset of the function space.&lt;eng&gt;</abstract>
  <note type="statement of responsibility">vorgelegt von Dennis Müller</note>
  <note>GutachterInnen: Alexander Meister (Universität Rostock, Institut für Mathematik) ; Alois Kneip (Universität Bonn, Institute of Finance and Statistics) ; Frédéric Ferraty (Universität Toulouse, Institut de Mathématiques)</note>
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      <title>Minimax estimation of the mode of functional data</title>
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      <namePart>Müller, Dennis, 1993 - </namePart>
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