Department of Mathematical Sciences
|DATE:||Thursday, November 3, 2016|
|TIME:||1:15pm to 2:15pm|
|SPEAKER:||Aleksey Polunchenko, Binghamton University|
|TITLE:||Asymptotic Near-Minimaxity of the Shiryaev-Roberts-Pollak Change-Point Detection Procedure in Continuous Time|
For the classical continuous-time quickest change-point detection problem it is shown that the (randomized) Shiryaev-Roberts-Pollak procedure is nearly minimax-optimal (with minimaxity understood in the sense introduced by Pollak in his seminal 1985 Annals paper) asymptotically as the false alarm risk goes to zero. The discrete-time analogue of this result was previously obtained by Pollak in 1985 in his Annals paper.