Asymptotic Inference in Continuous Time Markov Processes

Abstract

In this paper, a certain class of continuous time parameter Markov processes is considered, whose probability law depends on a k-dimensional parameter. Then, under suitable regularity conditions, several asymptotic results are devived. These results are sufficient to allow us to draw statistical inferences about the stochastic processes in question.