What are the applications of stochastic processes in econometrics?

Feb 20, 2007 ... Efficient tools to characterize stochastic processes are discussed. Quantifiers originally proposed within the framework of information ... 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 ... The stochastic properties of this process determine long-run learning dynamics. The challenge in establishing convergence results for <λt> stems from the ... independent doubly stochastic random times driven by a finite-state ... Investor information The process Z represents an abstract form of 'insider ... Renewal processes are broadly used to model stochastic behavior consisting of isolated events separated by periods of quiescence, whose durations are ... Mar 1, 2018 ... ... stochastic process. This has recently been verified experimentally ... & Crutchfield, J. P. Information anatomy of stochastic equilibria. Apr 4, 2006 ... The dynamic features are governed by the information flow, modeled as a stochastic volatility process, and generalize standard ARCH ... Oct 1, 2017 ... Convection processes have also been proposed to be represented through stochastic parameterizations (Christensen et al. 2015). Some climate ... processes. The essence of this approach consists of: an accumulation and evaluation of Marcovian stochastics via macro functional of the stochastic process; use ... Mar 17, 2025 ... ... stochastic process governed by statistical mechanics. These ... The toroidal model acknowledges that energy and information distributions follow ...