Results 41 to 50 of about 3,092 (108)
The Cameron-Martin Theorem for (p-)Slepian processes
We show a Cameron-Martin theorem for Slepian processes $W_t:=\frac{1}{\sqrt{p}}(B_t-B_{t-p}), t\in [p,1]$, where $p\geq \frac{1}{2}$ and $B_s$ is Brownian motion.
Bischoff, Wolfgang, Gegg, Andreas
core +1 more source
Smooth approximations for fractional and multifractional fields [PDF]
We construct absolute continuous stochastic processes that converge to anisotropic fractional and multifractional Brownian sheets in Besov-type spaces.
arxiv +1 more source
Higher-order expansions of powered extremes of normal samples
In this paper, higher-order expansions for distributions and densities of powered extremes of standard normal random sequences are established under an optimal choice of normalized constants.
Ling, Chengxiu, Zhou, Wei
core +1 more source
On the asymptotic robustness of the likelihood ratio test in quantitative trait locus detection
We consider the likelihood ratio test (LRT) process related to the test of the absence of QTL (i.e. a gene with quantitative effect on a trait) on a chromosome. We consider two different recombination models.
Charles-Elie Rabier
semanticscholar +1 more source
On Asymptotic Proximity of Distributions [PDF]
We consider some general facts concerning convergence P_{n}-Q_{n}\to 0 as n\to \infty, where P_{n} and Q_{n} are probability measures in a complete separable metric space. The main point is that the sequences {P_{n}} and {Q_{n}} are not assumed to be tight.
arxiv
INTERSECTION LOCAL TIME OF SUBFRACTIONAL ORNSTEIN-UHLENBECK PROCESSES
In this paper, we consider Ornstein-Uhlenbeck process dX t = −X t dt+ vdS t , X 0 = x, driven by a subfractional Brownian motion S . We prove that the subfractional Ornstein-Uhlenbeck process X is local nondeterministic and give some properties of this ...
Guangjun Shen, Dongjin Zhu, Xiuwei Yin
semanticscholar +1 more source
Prediction Law of Mixed Gaussian Volterra Processes [PDF]
We study the regular conditional law of mixed Gaussian Volterra processes under the influence of model disturbances. More precisely, we study prediction of Gaussian Volterra processes driven by a Brownian motion in a case where the Brownian motion is not observable, but only a noisy version is observed.
arxiv
ON THE THERMAL VOLTAGE SIGNAL IN A VIRTUAL NANOCONDUCTOR
We consider the electronic gas in a virtual conductor which is described in terms of a modified Drude model. The attractiveness of this model has been rediscovered in the computer era when it has been recognized that a dynamics of the electrons can be ...
E. Grycko, W. Kirsch, T. Mühlenbruch
semanticscholar +1 more source
Intervention in Ornstein-Uhlenbeck SDEs [PDF]
We introduce a notion of intervention for stochastic differential equations and a corresponding causal interpretation. For the case of the Ornstein-Uhlenbeck SDE, we show that the SDE resulting from a simple type of intervention again is an Ornstein ...
Sokol, Alexander
core
On some inequalities for Gaussian measures [PDF]
We review several inequalities concerning Gaussian measures - isoperimetric inequality, Ehrhard's inequality, Bobkov's inequality, S-inequality and correlation conjecture.
arxiv