DocumentCode
2976235
Title
An impossibility result for process discrimination
Author
Ryabko, Daniil
Author_Institution
INRIA-Lille Nord Eur., Villeneuve dAscq, France
fYear
2009
fDate
June 28 2009-July 3 2009
Firstpage
1734
Lastpage
1738
Abstract
Two series of binary observations x1; x1,... and y1, y2,... are presented: at each time n isin Nopf we are given xn and yn. It is assumed that the sequences are generated independently of each other by two stochastic processes. We are interested in the question of whether the sequences represent a typical realization of two different processes or of the same one. We demonstrate that this is impossible to decide in the case when the processes are B-processes. It follows that discrimination is impossible for the set of all (finite-valued) stationary ergodic processes in general. This result means that every discrimination procedure is bound to err with non-negligible frequency when presented with sequences from some of such processes. It contrasts earlier positive results on B-processes, in particular those showing that there are consistent dmacr-distance estimates for this class of processes.
Keywords
sequences; stochastic processes; B-process; binary observation; d-distance estimate; impossibility result; nonnegligible frequency; process discrimination; sequence; stationary ergodic process; stochastic process; Europe; Frequency; Information theory; Stochastic processes; Testing; B-processes; Process discrimination; homogeneity testing; stationary ergodic processes; time series;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2009. ISIT 2009. IEEE International Symposium on
Conference_Location
Seoul
Print_ISBN
978-1-4244-4312-3
Electronic_ISBN
978-1-4244-4313-0
Type
conf
DOI
10.1109/ISIT.2009.5205254
Filename
5205254
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