A joint large deviation principle for G-Brownian motion and its quadratic variation process is presented. The rate function is not a quadratic form due to quadratic variation uncertainty. A large deviation principle for stochastic differential equations driven by G-Brownian motion is also...

Let fn(x) be the non-parametric kernel density estimator of a density function f(x) based on a kernel function K. In this paper, we first prove two moderate deviation theorems in for {fn(x),n=1}. Then, as an application of the moderate deviations, we obtain a law of the iterated logarithm for...

We study pathwise properties and homeomorphic property with respect to the initial values for stochastic differential equations driven by G-Brownian motion. We first present a Burkholder-Davis-Gundy inequality and an extension of Itô's formula for the G-stochastic integrals. Some moment...

The two-parameter Poisson-Dirichlet distribution is the law of a sequence of decreasing nonnegative random variables with total sum one. It can be constructed from stable and gamma subordinators with the two parameters, [alpha] and [theta], corresponding to the stable component and the gamma...