An algorithm for detection of times when random process equation parameters change

The paper proposes an algorithm for detecting the time of stepwise change in parameters of a an equation for a random process stationary both before and after the step; no a priori data on the values of the parameter after the step are available. A procedure for a random autoregression process is given. Experimental study of the algorithm trial on a model are described.