arXiv:1504.01869v1 [math.ST] 8 AprOn Multi-Step MLE-Process for Ergodic Diffusion Yu.A. Kutoyants Laboratoire de Statistique et Processus, Universit´e du Maine

Source URL: arxiv.org

Ergodic Properties of Random Schr¨odinger Operators by Irina Y. Zhecheva A Thesis

Source URL: sites.williams.edu

• Mathematical analysis
• Ergodic theory
• Mathematics
• Analysis
• Ergodicity
• Measure-preserving dynamical system
• Ergodic process
• Hilbert space
• Dynamical system
• Probability space
• Measure
• Functional analysis

PDF Document

Source URL: www.eurandom.tue.nl

• Probability theory
• Mathematical analysis
• Probability
• Stochastic processes
• Markov processes
• Poisson point process
• Random walk
• Lajos Takcs
• Exchangeable random variables
• Markov chain
• Probability distribution
• Ergodic theory

CONTENT 01. Random variable and random process. Classes of random processes (OverviewConvergence with probability one and in probability. Other types of convergence. Ergodic theorem. 03. Orthogonal projection. Con

Source URL: www.eng.tau.ac.il

Ann Inst Stat Math:1–24 DOIs10463Intrinsically weighted means and non-ergodic marked point processes Alexander Malinowski · Martin Schlather ·

Source URL: www.ism.ac.jp

• Ergodic theory
• Stochastic processes
• Statistics
• Signal processing
• Analysis
• Ergodic process
• Ergodicity
• Ergodic
• Weighting
• Probability and statistics

Stability of Polling Systems with State-Independent Routing Serguei Foss∗, Natalia Chernova† and Artyom Kovalevskii‡ This paper deals with the stability study of polling systems with either finite or infinite (coun

Source URL: math.nsc.ru

• Ergodic theory
• Limit superior and limit inferior
• Stochastic differential equations
• Markov processes
• Markov models
• Control theory
• Approximately finite dimensional C*-algebra
• Itō diffusion
• Statistics
• Stochastic processes
• Point process

Hitting Time Distributions for Denumerable Birth and Death Processes Yu Gong Beijing Normal University, Beijing, China Yong-Hua Mao∗ Beijing Normal University, Beijing, China

Source URL: www.statistics.gov.hk

• Mathematics
• Ergodic theory
• Markov processes
• Ergodicity
• Eigenvalues and eigenvectors
• Hitting time
• Birth–death process
• Statistics
• Algebra
• Stochastic processes

Hitting Time Distributions for Denumerable Birth and Death Processes Yu Gong, Yong-Hua Mao and Chi Zhang Beijing Normal University, Beijing, China Email: Abstract

Source URL: www.statistics.gov.hk

• Mathematics
• Spectral theory
• Matrix theory
• Operator theory
• Markov chain
• Eigenvalues and eigenvectors
• Continuous-time Markov process
• Self-adjoint operator
• Ergodic theory
• Algebra
• Linear algebra
• Markov processes

Chapter 26 Time Series So far, we have assumed that all data points are pretty much independent of each other. In the chapters on regression, we assumed that each Yi was independent of every other, given its Xi , and we

Source URL: www.stat.cmu.edu

• Time series analysis
• Stochastic processes
• Ergodic theory
• Stationary process
• Autocorrelation
• Time series
• Autocovariance
• Ergodic process
• Covariance
• Statistics
• Covariance and correlation
• Signal processing

The Form of the Optimal Nonlinear Instrument for Multiperiod Conditional Moment Restrictions by Stanislav Anatolyev* New Economic School, Moscow Phone: +[removed]

Source URL: pages.nes.ru

• Ergodic theory
• Regression analysis
• Signal processing
• Ergodic process
• Autoregressive conditional heteroskedasticity
• Lyapunov exponent
• Martingale
• Ergodicity
• Instrumental variable
• Statistics
• Stochastic processes
• Econometrics