Results 31 to 40 of about 1,549 (83)
Asymptotic for the quantization error for a Wiener process with Gaussian starting point [PDF]
The asymptotics for quantization error for a Wiener process with Gaussian starting point (GSP-Wiener process) is investigated. Using the classical methodology and some analytical approach a first result is obtained.
Salomón, Luis A.
core
Nonstandard limit theorem for infinite variance functionals
We consider functionals of long-range dependent Gaussian sequences with infinite variance and obtain nonstandard limit theorems. When the long-range dependence is strong enough, the limit is a Hermite process, while for weaker long-range dependence, the ...
Heyde, Chris, Sly, Allan
core +1 more source
An improved bound for the Gaussian concentration inequality
In this note, we provide an improved bound for the Gaussian concentration inequality. Our proof is short and bases on the integration-by-parts formula for the gaussian measure.Comment: 4 ...
Dung, Nguyen Tien
core
Representation of self-similar Gaussian processes [PDF]
We develop the canonical Volterra representation for a self-similar Gaussian process by using the Lamperti transformation of the corresponding stationary Gaussian process, where this latter one admits a canonical integral representation under the ...
Yazigi, Adil
core +1 more source
The Multiparameter Fractional Brownian Motion
We define and study the multiparameter fractional Brownian motion. This process is a generalization of both the classical fractional Brownian motion and the multiparameter Brownian motion, when the condition of independence is relaxed. Relations with the
Herbin, Erick, Merzbach, Ely
core +1 more source
An asymptotic formula for the variance of the number of zeroes of a stationary Gaussian process. [PDF]
Assaf E, Buckley J, Feldheim N.
europepmc +1 more source
Burkholder's submartingales from a stochastic calculus perspective
We provide a simple proof, as well as several generalizations, of a recent result by Davis and Suh, characterizing a class of continuous submartingales and supermartingales that can be expressed in terms of a squared Brownian motion and of some ...
Peccati, Giovanni, Yor, Marc
core +2 more sources
Discrimination between Gaussian process models: active learning and static constructions. [PDF]
Yousefi E +4 more
europepmc +1 more source
Pandemic-type failures in multivariate Brownian risk models. [PDF]
Dȩbicki K, Hashorva E, Kriukov N.
europepmc +1 more source
Density of imaginary multiplicative chaos via Malliavin calculus. [PDF]
Aru J, Jego A, Junnila J.
europepmc +1 more source

