Large Sample Techniques for Statistics pp 317-355 | Cite as
Stochastic Processes
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Abstract
A stochastic process may be understood as a continuous-time series or as an extension of the time series that includes both discrete-time and continuous-time series. In this chapter we discuss a few well-known stochastic processes, which in a certain sense define the term stochastic processes. These include both discrete-time and continuous-time processes that have not been previously discussed in details. Again, our focus is the limiting behaviors of these processes.
Keywords
Markov Chain Brownian Motion Poisson Process GARCH Model Interarrival Time
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© Springer Science+Business Media, LLC 2010