Before revision:  Issues to consider when developing such methods include computational demands, difficulties arising from either limited amount of data or a large number of covariates, and arriving at statistical tests with sufficient power to detect as many change points as contained in potentially high-dimensional data sets .
After revision:  Issues to consider when developing change point analysis methods include computational demands, difficulties arising from either limited amount of data or a large number of covariates, and arriving at statistical tests with sufficient power to detect as many change points as contained in potentially high-dimensional data sets .