New algorithm revolutionizes estimation of complex stochastic processes.
A new method was developed to estimate parameters of a complex random process called Markov modulated Markov process. This process involves two types of random changes happening at the same time. The researchers created an algorithm to figure out the parameters that control these changes. This algorithm builds on a previous method used for a simpler type of random process.