de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Impressum Kontakt Einloggen
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Konferenzbeitrag

Efficient Sampling Methods for Discrete Distributions

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44182

Bringmann,  Karl
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Bringmann, K., & Panagiotou, K. (2012). Efficient Sampling Methods for Discrete Distributions. In A. Czumaj, K. Mehlhorn, A. M. Pitts, & R. Wattenhofer (Eds.), Automata, Languages, and Programming (pp. 133-144). Berlin: Springer.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0014-BBDB-2
Zusammenfassung
We study the fundamental problem of the exact and efficient generation of random values from a finite and discrete probability distribution. Suppose that we are given n distinct events with associated probabilities p_1,...,p_n. We consider the problem of sampling a subset, which includes the i-th event independently with probability p_i, and the problem of sampling from the distribution, where the i-th event has a probability proportional to p_i. For both problems we present on two different classes of inputs � sorted and general probabilities � efficient preprocessing algorithms that allow for asymptotically optimal querying, and prove almost matching lower bounds for their complexity.