#ReadingDiaryTartakovskyEtAl-2

Abschnitt 1.2.2 von Abschnitt 1.2 ist eine einleitende Übersicht ueber die andere 'theoretische Marschroute': schnellstmögliche Anomalie-Erkennung, insbesondere in sequenziellen Daten.

Der erste Absatz wiederholt Selbstverständliches:
>
>
(1) jede nichttriviale Definition von 'Anomalie' kann zu Fehlalarmen führen;
(2) der Wunsch, Anomalien schnell zu erkennen, begünstigt Fehlalarme;
(3) der Versuch, Fehlalarme zu vermeiden, führt tendenziell zu langen Latenzzeiten (bis Anomalie gemeldet wird).

Der Absatz
>
>ist nicht gut geschrieben: ein Satz ist ungrammatisch, ein anderer enthält ein #Plenking.

Im nächsten Absatz wird eine Unterscheidung zweier Richtungen in der Literatur zur Anomalieerkennung eingeführt: #Bayes-Methoden einerseits, #Minimax-Methoden andererseits.

>
>
Bei

Bayes-Methoden wird die Annahme gemacht, dass der Zeitpunkt des Anomalie-Alarms eine Zufallsvariable ist.

Minimax-Methoden wird die Annahme gemacht, dass der Zeitpunkt des Anomalie-Alarms eine zwar unbekannte aber festgelegte Zahl ist.

Dabei bedeutet "Annahme gemacht",>

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