Stationary probability density functions: An exact result
نویسندگان
چکیده
An exact expression is obtained for the probability density function (pdf) of any quantity measured in a general stationary process, in terms of conditional expectations of time derivatives of the signal. This expression indicates that the conditional expectations of both the time derivative squared and of the second time derivative influence the shape of the pdf, including its tails. A previous result of Ching [Phys. Rev. Lett. 70, 283 (1993)] for temperature measurements in turbulent flows corresponds to the particular case when the latter quantity is linear.
منابع مشابه
Langevin Approach to Lévy Flights in Fixed Potentials: Exact Results for Stationary Probability Distributions ∗
The functional method to derive the fractional Fokker-Planck equation for probability distribution from the Langevin equation with Lévy stable noise is proposed. For the Cauchy stable noise we obtain the exact stationary probability density function of Lévy flights in different smooth potential profiles. We find confinement of the particle in the superdiffusion motion with a bimodal stationary ...
متن کاملON THE STATIONARY PROBABILITY DENSITY FUNCTION OF BILINEAR TIME SERIES MODELS: A NUMERICAL APPROACH
In this paper, we show that the Chapman-Kolmogorov formula could be used as a recursive formula for computing the m-step-ahead conditional density of a Markov bilinear model. The stationary marginal probability density function of the model may be approximated by the m-step-ahead conditional density for sufficiently large m.
متن کاملComment on “ Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes , ” by M . Rudolph and A .
In two recent articles, Rudolph and Destexhe (2003, 2005) studied a leaky integrator model (an RC-circuit) driven by correlated (“colored”) gaussian conductance noise and Gaussian current noise. In the first article, they derived an expression for the stationary probability density of the membrane voltage; in the second, they modified this expression to cover a larger parameter regime. Here we ...
متن کامل1 5 Ju n 20 05 Comment on : Characterization of subthreshold voltage fluctuations in neuronal membranes
In two recent papers, Rudolph and Destexhe (Neural Comp. 15, 2577-2618, 2003; Neural Comp. in press, 2005) studied a leaky integrator model (i.e. an RC-circuit) driven by correlated (“colored”) Gaussian conductance noise and Gaussian current noise. In the first paper they derived an expression for the stationary probability density of the membrane voltage; in the second paper this expression wa...
متن کاملComment on "Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes, " by M. Rudolph and A. Destexhe
In two recent articles, Rudolph and Destexhe (2003, 2005) studied a leaky integrator model (an RC-circuit) driven by correlated ("colored") gaussian conductance noise and Gaussian current noise. In the first article, they derived an expression for the stationary probability density of the membrane voltage; in the second, they modified this expression to cover a larger parameter regime. Here we ...
متن کامل