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BERNOULLI SAMPLING
Author(s) -
Deshmukh Shailaja R.
Publication year - 1991
Publication title -
australian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 0004-9581
DOI - 10.1111/j.1467-842x.1991.tb00424.x
Subject(s) - bernoulli's principle , bernoulli process , point process , sampling (signal processing) , mathematics , property (philosophy) , process (computing) , discrete time and continuous time , markov process , computer science , statistics , physics , philosophy , filter (signal processing) , operating system , epistemology , computer vision , thermodynamics
Summary The concepts of the Bernoulli count process of a point process and Bernoulli sampling of a discrete parameter stochastic process are introduced. The Bernoulli count process determines the stochastic structure of the point process, and a process obtained by thinning a discrete parameter stochastic process by Bernoulli sampling satisfies the same property. Stationarity and the Markov property remain invariant under Bernoulli sampling.