Weak law of large numbers for linear processes
@article{Characiejus2016WeakLO, title={Weak law of large numbers for linear processes}, author={Vaidotas Characiejus and Alfredas Ra{\vc}kauskas}, journal={Acta Mathematica Hungarica}, year={2016}, volume={149}, pages={215-232} }
We establish sufficient conditions for the Marcinkiewicz–Zygmund type weak law of large numbers for a linear process $${\{X_k:k\in\mathbb Z\}}$${Xk:k∈Z} defined by $${X_k=\sum_{j=0}^\infty\psi_j\varepsilon_{k-j}}$$Xk=∑j=0∞ψjεk-j for $${k\in\mathbb Z}$$k∈Z, where $${\{\psi_j:j\in\mathbb Z\}\subset\mathbb R}$${ψj:j∈Z}⊂R and $${\{\varepsilon_k:k\in\mathbb Z\}}$${εk:k∈Z} are independent and identically distributed random variables such that $${{x^p\Pr\{|\varepsilon_0| > x\}\to 0}}$$xpPr{|ε0|>x}→0…
4 Citations
Convergence rates in the law of large numbers for END linear processes with random coefficients
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Abstract In this paper, we consider convergence rates in the Marcinkiewicz–Zygmund law of the large numbers for the END linear processes with random coefficients. We extend some results of Baum and…
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Abstract In this paper, we investigate the complete convergence and complete moment convergence of asymptotically almost negatively associated random variables with random coefficients. The obtained…
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This paper extends the result of Baum and Katz to the long-range dependent linear processes and obtains convergence rates in the Marcinkiewicz-Zygmund law of large numbers for short-rangedependent linear processes.
References
SHOWING 1-10 OF 14 REFERENCES
Some Limit Theorems for Stationary Processes
- Mathematics
- 1962
In this paper stationary stochastic processes in the strong sense are investigated, which satisfy the condition \[ | {{\bf P} ( {AB} ) - {\bf P} ( A ){\bf P} ( B )} | \leqq \varphi ( n ){\bf P}( A…
Probability in Banach Spaces: Isoperimetry and Processes
- Mathematics
- 1991
Notation.- 0. Isoperimetric Background and Generalities.- 1. Isoperimetric Inequalities and the Concentration of Measure Phenomenon.- 2. Generalities on Banach Space Valued Random Variables and…
An Introduction To Probability Theory And Its Applications
- Mathematics
- 1950
A First Course in Probability (8th ed.) by S. Ross is a lively text that covers the basic ideas of probability theory including those needed in statistics.
Marcinkiewicz–Zygmund Strong Laws for Infinite Variance Time Series
- Mathematics
- 2000
We study rate of convergence in the strong law of large numbers for finite and infinite variance time series in both contexts of weak and strong dependence.
Asymptotics for Linear Processes
- Mathematics
- 1992
A method of deriving asymptotics for linear processes is introduced which uses an explicit algebraic decomposition of the linear filter. The method leads to substantial simplifications in the…
An Introduction to Probability Theory and Its Applications
- Mathematics
- 1950
Thank you for reading an introduction to probability theory and its applications vol 2. As you may know, people have look numerous times for their favorite novels like this an introduction to…
Large Sample Inference for Long Memory Processes
- Mathematics
- 2012
Introduction Estimation Some Inference Problems Residual Empirical Processes Regression Models Nonparametric Regression with Heteroscedastic Errors Model Checking under Long Memory Long Memory under…
Estimation in Conditionally Herteroscedastic Time Series Models
- Mathematics
- 2004
Some Mathematical Tools.- Financial Time Series: Facts and Models.- Parameter Estimation: An Overview.- Quasi Maximum Likelihood Estimation in Conditionally Heteroscedastic Time Series Models: A…