In this paper a k-nearest neighbor type estimator of the marginal density function for a random field which evolves with time is considered. Considering dependence, the consistency and asymptotic distribution are studied for the stationary and nonstationary cases. In particular, the parametric...

In this paper, we consider a one-dimensional fractional Brownian motion X and the Fourier transform of its associated Dirac measure δ(X). It is a measure, canonically associated with X (in the sense of Schwartz’s theory of generalized functions). As was shown by Kahane, this measure reflects...

Introducing certain singularities, we generalize the class of one-dimensional stochastic differential equations with so-called generalized drift. Equations with generalized drift, well-known in the literature, possess a drift that is described by the semimartingale local time of the unknown...

We consider a Lévy process reflected in barriers at 0 and K  0. The loss rate is the mean of the local time at K at time 1 when the process is started in stationarity, and is a natural continuous-time analogue of the stationary expected loss rate for a reflected random walk. We derive...

We consider a Lévy process reflected in barriers at 0 and K  0. The loss rate is the mean of the local time at K at time 1 when the process is started in stationarity, and is a natural continuous-time analogue of the stationary expected loss rate for a reflected random walk. We derive...