Parameter estimation for fractional Ornstein–Uhlenbeck processes of general Hurst parameter
This paper studies the least squares estimator (LSE) for the drift parameter of an Ornstein–
Uhlenbeck process driven by fractional Brownian motion, whose observations can be made …
Uhlenbeck process driven by fractional Brownian motion, whose observations can be made …
Parameter estimation for an Ornstein-Uhlenbeck process driven by a general Gaussian noise
Y Chen, H Zhou - Acta Mathematica Scientia, 2021 - Springer
In this paper, we consider an inference problem for an Ornstein-Uhlenbeck process driven
by a general one-dimensional centered Gaussian process (G t) t≥ 0. The second order …
by a general one-dimensional centered Gaussian process (G t) t≥ 0. The second order …
Vector‐valued generalized Ornstein–Uhlenbeck processes: Properties and parameter estimation
M Voutilainen, L Viitasaari, P Ilmonen… - … Journal of Statistics, 2022 - Wiley Online Library
Abstract Generalizations of the Ornstein–Uhlenbeck process defined through Langevin
equations, such as fractional Ornstein–Uhlenbeck processes, have recently received a lot of …
equations, such as fractional Ornstein–Uhlenbeck processes, have recently received a lot of …
Berry-Esseen bounds of second moment estimators for Gaussian processes observed at high frequency
Abstract Let Z:={Z t, t≥ 0} be a stationary Gaussian process. We study two estimators of E [Z
0 2], namely f ˆ T (Z):= 1 T∫ 0 TZ t 2 dt, and f˜ n (Z):= 1 n∑ i= 1 n Z ti 2, where ti= i Δ n, i= 0 …
0 2], namely f ˆ T (Z):= 1 T∫ 0 TZ t 2 dt, and f˜ n (Z):= 1 n∑ i= 1 n Z ti 2, where ti= i Δ n, i= 0 …
Least squares estimator of fractional Ornstein–Uhlenbeck processes with periodic mean
We first study the drift parameter estimation of the fractional Ornstein–Uhlenbeck process
(fOU) with periodic mean for every 1 2< H< 1. More precisely, we extend the consistency …
(fOU) with periodic mean for every 1 2< H< 1. More precisely, we extend the consistency …
Berry–Esséen bound for the parameter estimation of fractional Ornstein–Uhlenbeck processes
Y Chen, N Kuang, Y Li - Stochastics and Dynamics, 2020 - World Scientific
For an Ornstein–Uhlenbeck process driven by fractional Brownian motion with Hurst index
H∈[1 2, 3 4], we show the Berry–Esséen bound of the least squares estimator of the drift …
H∈[1 2, 3 4], we show the Berry–Esséen bound of the least squares estimator of the drift …
Berry-Esséen bound for the parameter estimation of fractional Ornstein-Uhlenbeck processes with the hurst parameter
Y Chen, Y Li - Communications in Statistics-Theory and Methods, 2021 - Taylor & Francis
Abstract For an Ornstein–Uhlenbeck process driven by a fractional Brownian motion with
Hurst parameter H∈(0, 1 2), one shows the Berry–Esséen bound of the least squares …
Hurst parameter H∈(0, 1 2), one shows the Berry–Esséen bound of the least squares …
Stochastic analysis of Gaussian processes via Fredholm representation
T Sottinen, L Viitasaari - International journal of stochastic …, 2016 - Wiley Online Library
We show that every separable Gaussian process with integrable variance function admits a
Fredholm representation with respect to a Brownian motion. We extend the Fredholm …
Fredholm representation with respect to a Brownian motion. We extend the Fredholm …
Central limit theorems and minimum-contrast estimators for linear stochastic evolution equations
P Kříž, B Maslowski - Stochastics, 2019 - Taylor & Francis
Central limit theorems and asymptotic properties of the minimum-contrast estimators of the
drift parameter in linear stochastic evolution equations driven by fractional Brownian motion …
drift parameter in linear stochastic evolution equations driven by fractional Brownian motion …
[HTML][HTML] Long-range dependent completely correlated mixed fractional Brownian motion
In this paper we introduce the long-range dependent completely correlated mixed fractional
Brownian motion (ccmfBm). This is a process that is driven by a mixture of Brownian motion …
Brownian motion (ccmfBm). This is a process that is driven by a mixture of Brownian motion …