Some aspects of general<i>m</i>-estimation theory for dependent random variables

In this paper, we show some results regarding stationary Markov chains and sequences which can be obtained from the general theory of M-estimation, This includes the large sample likelihood theory for a discrete-time stochastic sequence as a particular case, Consistency of a Markov model has been tested with the help of the general theory