In mathematics, the Ornstein–Uhlenbeck process is a stochastic process with applications in financial mathematics and the physical sciences. Its original... 30 KB (4,605 words) - 16:58, 9 May 2024 |
Ornstein–Uhlenbeck may refer to: Ornstein–Uhlenbeck operator Ornstein–Uhlenbeck process This disambiguation page lists articles associated with the title... 334 bytes (43 words) - 14:24, 20 April 2013 |
If the process is stationary, the covariance function depends only on x − x ′ {\displaystyle x-x'} . For example, the Ornstein–Uhlenbeck process is stationary... 39 KB (5,508 words) - 20:07, 14 January 2024 |
Brownian motion, reflected Brownian motion and Ornstein–Uhlenbeck processes are examples of diffusion processes. It is used heavily in statistical physics... 2 KB (171 words) - 03:23, 13 March 2024 |
Autoregressive model (redirect from Autoregressive process) The AR(1) model is the discrete-time analogy of the continuous Ornstein-Uhlenbeck process. It is therefore sometimes useful to understand the properties... 34 KB (5,393 words) - 19:48, 6 April 2024 |
professor and member of the institute. Uhlenbeck developed the physical theory of the Ornstein-Uhlenbeck process.[citation needed] He retired in 1971,... 11 KB (1,050 words) - 07:11, 6 May 2024 |
Fokker–Planck equation (category Stochastic processes) Boltzmann distribution is the unique equilibrium. The Ornstein–Uhlenbeck process is a process defined as d X t = − a X t d t + σ d W t . {\displaystyle... 35 KB (6,474 words) - 16:37, 5 March 2024 |
Markov processes. A stationary Gauss–Markov process is unique[citation needed] up to rescaling; such a process is also known as an Ornstein–Uhlenbeck process... 4 KB (473 words) - 21:31, 5 July 2023 |
correlation functions, and the Ornstein-Uhlenbeck process (named after Ornstein and George Uhlenbeck), a stochastic process. Together with Gilles Holst,... 9 KB (704 words) - 22:34, 26 January 2024 |
Cox–Ingersoll–Ross model (redirect from CIR process) an Ornstein–Uhlenbeck_process. The CIR model describes the instantaneous interest rate r t {\displaystyle r_{t}} with a Feller square-root process, whose... 14 KB (1,915 words) - 20:02, 8 March 2024 |
Ornstein–Zernike equation and the Ornstein–Uhlenbeck process Michael Marisi Ornstein (b. 1963), American actor Norman J. Ornstein (born 1948), American political... 980 bytes (143 words) - 15:14, 20 September 2023 |
Poisson process. An example with continuous paths is the Ornstein–Uhlenbeck process. Continuous signal Parzen, E. (1962) Stochastic Processes, Holden-Day... 2 KB (212 words) - 13:14, 20 June 2022 |
x)+{\frac {1}{2}}{\frac {\partial ^{2}f}{\partial x^{2}}}(t,x)} The Ornstein–Uhlenbeck process on R {\displaystyle \mathbb {R} } , which satisfies the stochastic... 9 KB (1,720 words) - 03:10, 4 March 2024 |
Mean reversion may refer to: Regression toward the mean Ornstein–Uhlenbeck process Mean reversion (finance) This disambiguation page lists articles associated... 151 bytes (47 words) - 10:15, 29 December 2019 |
structure of interest rates. The CKLS process can also be viewed as a generalization of the Ornstein–Uhlenbeck process. It is named after K. C. Chan, G. Andrew... 11 KB (1,154 words) - 21:11, 11 May 2024 |
on the expectation Onsager–Machlup function Ornstein–Uhlenbeck process Percolation theory Point processes: random arrangements of points in a space S... 5 KB (407 words) - 21:21, 25 August 2023 |
of assuming it follows a Wiener–Bachelier process, they assume that it follows an Ornstein–Uhlenbeck process. With this new assumption in place, they derive... 12 KB (1,544 words) - 22:09, 1 May 2024 |
prediction error Mean time between failures Mean-reverting process – redirects to Ornstein–Uhlenbeck process Mean value analysis Measurement, level of – see level... 87 KB (8,290 words) - 14:04, 2 May 2024 |
Queueing theory (section Birth-death process) approximate the queueing length process by a reflected Brownian motion, Ornstein–Uhlenbeck process, or more general diffusion process. The number of dimensions... 39 KB (4,875 words) - 10:49, 8 May 2024 |
implements the Euler–Maruyama method and uses it to solve the Ornstein–Uhlenbeck process defined by d Y t = θ ⋅ ( μ − Y t ) d t + σ d W t {\displaystyle... 6 KB (838 words) - 18:46, 19 December 2023 |
a variable X t {\displaystyle X_{t}} is assumed to follow an Ornstein–Uhlenbeck process and r t {\displaystyle r_{t}\,} is assumed to follow r t = exp... 26 KB (3,697 words) - 08:06, 8 May 2024 |
but decreases with a {\displaystyle a} . This model is an Ornstein–Uhlenbeck stochastic process. Making the long term mean stochastic to another SDE is... 8 KB (1,244 words) - 11:13, 10 November 2023 |
time varying parameters in the Ornstein–Uhlenbeck process), the Cox–Ingersoll–Ross model, which is a modified Bessel process, and the Heath–Jarrow–Morton... 45 KB (5,682 words) - 21:54, 6 April 2024 |
Outline of probability (section Stochastic processes) Poisson process Compound Poisson process Wiener process Geometric Brownian motion Fractional Brownian motion Brownian bridge Ornstein–Uhlenbeck process Gamma... 8 KB (556 words) - 12:15, 30 October 2023 |
Dutch politician – Orangism. Leonard Ornstein, Dutch physicist – Ornstein–Zernike equation, Ornstein–Uhlenbeck process. Orpheus, Greek mythological character... 97 KB (9,351 words) - 15:43, 22 March 2024 |
Affine term structure model (redirect from Affine process) -x)dt+\Sigma dW^{\mathbb {P} }} The general solution of the multivariate Ornstein-Uhlenbeck process is: x t = θ + e − K P t ( x 0 − θ ) + ∫ 0 t e − K P ( t − t ′... 12 KB (2,599 words) - 18:09, 10 January 2024 |