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1
Content available remote The local structure of q-Gaussian processes
EN
The local structure of q-Ornstein-Uhlenbeck process and q-Brownian motion are investigated for all q ϵ (−1, 1). These are classical Markov processes that arose from the study of noncommutative probability. These processes have discontinuous sample paths, and the local small jumps are characterized by tangent processes. It is shown that, for all q ϵ (−1, 1), the tangent processes in the interior of the state space are scaled Cauchy processes possibly with drifts. The tangent processes at the boundary of the state space are also computed, but they are not well-known processes in classical probability theory. Instead, they can be associated with the free 1/2-stable law, a well-known distribution in free probability, via Biane’s construction.
2
Content available remote Fock space realizations of some classical Markov processes
EN
We define a pair of non-commutative processes on a perturbed Fock space. Both processes have the same univariate distributions and satisfy a weak form of the polynomial martingale property. The processes give two non-equivalent Fock-space realizations of the same classical Markov process: the two-parameter bi-Poisson processes introduced in [12], and constructed in [13].
4
Content available remote On integrability of quadratic harnesses
EN
We investigate integrability properties of processes with linear regressions and quadratic conditional variances. We establish the right order of dependence of which moments are finite on the parameter (…) defined below, raising the question of determining the optimal constant.
5
Content available remote Free exponential families as kernel families
EN
Free exponential families have been previously introduced as a special case of the q-exponential family. We show that free exponential families arise also from the approach analogous to the definition of exponential families by using the Cauchy-Stieltjes kernel 1/(1 - Qx) instead of the exponential kernel exp(Qx). We use this approach to re-derive some known results and to study further similarities with exponential families and reproductive exponential models.
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