Learn More
Sequential change diagnosis is the joint problem of detection and identification of a sudden and unobservable change in the distribution of a random sequence. In this problem, the common probability law of a sequence of i.i.d. random variables suddenly changes at some disorder time to one of finitely many alternatives. This disorder time marks the start of(More)
The problem of detection and identification of an unobservable change in the distribution of a random sequence is studied via a hidden Markov model (HMM) approach. The formulation is Bayesian, on-line, discrete-time, allowing both single- and multiple- disorder cases, dealing with both independent and identically distributed (i.i.d.) and dependent(More)
CO2 fixation in Rhizobium meliloti was repressed by a variety of organic carbon sources. Cellular cyclic AMP levels were similar in repressed and nonrepressed cultures. Exogenous cyclic AMP or additional copies of the adenyl cyclase gene in cells experiencing repression failed to affect the rates of CO2 fixation. However, in R. japonicum catabolite(More)
This paper examines the joint problem of detection and identification of a sudden and unobservable change in the probability distribution function (pdf) of a sequence of independent and identically distributed (i.i.d.) random variables to one of finitely many alternative pdf's. The objective is quick detection of the change and accurate inference of the(More)
  • 1