How do stochastic models help us understand complex systems?

This paper develops a subordinated stochastic process model for asset prices, where the directing process is identified as information. Motivated by recent. This paper deals with the problem of establishing conditions under which, in the independent Gaussian case, a stochastic process can be considered to be ... A model is proposed which treats network traffic as a stochastic process with an infinite mean delay. Such a model can be used to explain the appearance of ... ), Arbitrage, Credit and Informational Risks, (pp. 53-86). Singapore: World ... Stochastic Processes and their Applications, 129(4), 1229-1258. [More ... Wu is with School of Mathematics and Informational Science,. Yantai ... Proposition 2: If a stochastic process is locally strongly uni- formly ... the entropy rate of a stochastic process (message or sequence is seen as a succession of events). (The "rate of self-information" can also be defined for a ... We present a novel and simple method to numerically calculate Fisher information matrices for stochastic chemical kinetics models. stochastic volatility process (Andersen (1992b)). We now turn to the issue of nonstationarity. So far, we have assumed that volume is stationary. This ignores ... Jul 6, 2021 ... Asymmetric information may stem from, e.g., the observation of different stochastic processes or partial knowledge of the structure of the game ... ... Random Bridge market information process. This is the first attempt to ... Stochastic Processes and Their Applications, 121, 856-884. https://doi.org ...