Stationary frequencies and mixing times for neutral drift processes with spatial structure
نویسندگان
چکیده
منابع مشابه
Stability Bounds for Stationary phi-mixing and beta-mixing Processes
Most generalization bounds in learning theory are based on some measure of the complexity of the hypothesis class used, independently of any algorithm. In contrast, the notion of algorithmic stability can be used to derive tight generalization bounds that are tailored to specific learning algorithms by exploiting their particular properties. However, as in much of learning theory, existing stab...
متن کاملStability Bounds for Stationary φ-mixing and β-mixing Processes
Most generalization bounds in learning theory are based on some measure of the complexity of the hypothesis class used, independently of any algorithm. In contrast, the notion of algorithmic stability can be used to derive tight generalization bounds that are tailored to specific learning algorithms by exploiting their particular properties. However, as in much of learning theory, existing stab...
متن کاملStationary Distributions for Jump Processes with Inert Drift
We analyze jump processes Z with “inert drift” determined by a “memory” process S. The state space of (Z, S) is the Cartesian product of the unit circle and the real line. We prove that the stationary distribution of (Z, S) is the product of the uniform probability measure and a Gaussian distribution.
متن کاملAsymptotic Recurrence and Waiting times for Stationary Processes
Let X = fX n ; n 2 Zg be a discrete-valued stationary ergodic process distributed according to P and let x = of the recurrence time R n deened as the rst time that the initial n-block x n 1 = (x 1 ; x 2 ; : : : ; x n) reappears in the past of x. We identify an associated random walk, ? log P (X n 1); on the same probability space as X, and we prove a strong approximation theorem between log R n...
متن کاملEstimation of Hidden Frequencies for 2d Stationary Processes
We study a stationary random ®eld model that is composed of a signal of an unknown number of sine and cosine functions, and a coloured noise. This model has been used in image analysis and modelling spatial data, and is useful for signal extraction in the presence of coloured noise. The problem is to estimate the number of unknown frequencies and the unknown frequencies. The analogous time seri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
سال: 2018
ISSN: 1364-5021,1471-2946
DOI: 10.1098/rspa.2018.0238