Search results for " 60G15."

showing 3 items of 3 documents

Almost sure central limit theorems for random ratios and applications to lse for fractional ornstein–uhlenbeck processes

2012

We investigate an almost sure limit theorem (ASCLT) for sequences of random variables having the form of a ratio of two terms such that the numerator satisfies the ASCLT and the denominator is a positive term which converges almost surely to 1. This result leads to the ASCLT for least square estimators for Ornstein-Uhlenbeck process driven by fractional Brownian motion.

Mathematics::ProbabilityProbability (math.PR)FOS: MathematicsMathematics - Probability60F05 60G15 60H05 60H07
researchProduct

Malliavin Calculus and Skorohod Integration for Quantum Stochastic Processes

2000

A derivation operator and a divergence operator are defined on the algebra of bounded operators on the symmetric Fock space over the complexification of a real Hilbert space $\eufrak{h}$ and it is shown that they satisfy similar properties as the derivation and divergence operator on the Wiener space over $\eufrak{h}$. The derivation operator is then used to give sufficient conditions for the existence of smooth Wigner densities for pairs of operators satisfying the canonical commutation relations. For $\eufrak{h}=L^2(\mathbb{R}_+)$, the divergence operator is shown to coincide with the Hudson-Parthasarathy quantum stochastic integral for adapted integrable processes and with the non-causal…

Statistics and ProbabilityPure mathematics[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Integrable systemComplexificationSpace (mathematics)Malliavin calculus01 natural sciences81S25Fock space81S25; 60H07; 60G15010104 statistics & probabilitysymbols.namesakeOperator (computer programming)60H07FOS: Mathematics0101 mathematicsMathematical PhysicsMathematicsApplied Mathematics010102 general mathematicsProbability (math.PR)Hilbert spaceStatistical and Nonlinear Physics[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Bounded function60G15symbols[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - Probability
researchProduct

PARAMETER ESTIMATION FOR FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES: NON-ERGODIC CASE

2011

We consider the parameter estimation problem for the non-ergodic fractional Ornstein-Uhlenbeck process defined as $dX_t=\theta X_tdt+dB_t,\ t\geq0$, with a parameter $\theta>0$, where $B$ is a fractional Brownian motion of Hurst index $H\in(1/2,1)$. We study the consistency and the asymptotic distributions of the least squares estimator $\hat{\theta}_t$ of $\theta$ based on the observation $\{X_s,\ s\in[0,t]\}$ as $t\rightarrow\infty$.

[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Probability (math.PR)62F12 60G18 60G1562F12 60G18 60G15.[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Mathematics::ProbabilityFOS: MathematicsParameter estimationYoung integralYoung integral.Parameter estimation; Non-ergodic fractional Ornstein-Uhlenbeck process; Young integral.[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - ProbabilityNon-ergodic fractional Ornstein-Uhlenbeck process
researchProduct